Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Activity Details

6 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 121
Recent Advance of Nonparametric and Semiparametric Techniques with Complex Data Structure — Invited Papers
Section on Nonparametric Statistics, ENAR, Biometrics Section, SSC
Organizer(s): Jiwei Zhao, State University of New York At Buffalo
Chair(s): Jiwei Zhao, State University of New York At Buffalo
2:05 PM	Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events Presentation Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:25 PM	Quantile-Optimal Treatment Regimes Lan Wang, University of Minnesota; Yu Zhou, University of Minnesota; Rui Song, North Carolina State University; Ben Sherwood, University of Kansas
2:45 PM	Semiparametric Theory for Causal Inference with Negative Controls Presentation Xu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania
3:05 PM	A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse Presentation Jae-kwang Kim, Iowa State University; Kosuke Morikawa, Osaka University ; Hejian Sang, Iowa State University
3:25 PM	Optimal Pseudolikelihood Estimation in Multivariate Missing Data with Nonignorable Nonresponse Presentation Jiwei Zhao, State University of New York At Buffalo; Yanyuan Ma, Penn State University
3:45 PM	Floor Discussion

56 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 114
Novel Statistical Methods for Variable Selection with Applications — Topic Contributed Papers
Section on Nonparametric Statistics, Biometrics Section, International Chinese Statistical Association, SSC
Organizer(s): Xiangrong Yin, University of Kentucky
Chair(s): Xiangrong Yin, University of Kentucky
4:05 PM	Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction Presentation Yi Li
4:25 PM	Partial Least Square: Theoretical Results for the Chemometrics Use of PLS Presentation Liliana Forzani, FACULTAD DE INGENIERIA QUIMICA; Dennis Cook, School of Statistics
4:45 PM	Sufficient Dimension Folding for Regressions with Matrix- or Array-Valued Predictors Wenhui Sheng
5:05 PM	Nonlinear Multivariate Functional PCA Presentation Jun Song, UNC Charlotte; Bing Li, The Pennsylvania State University
5:25 PM	Variable Selection in Semiparametric Transformation Cure Models with Right-Censored Data Wenyan Zhong
5:45 PM	Floor Discussion

72 !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 115
Recent Advances in Nonparametric Statistical Methods II — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Yunan Wu, University of Minnesota
4:05 PM	Adjustments of Mann-Whitney U-Statistics for Comparing Sojourn Time Distributions in Observational Studies When Transition Time Are Right Censored Presentation Yichen Chen, University of Florida; Somnath Datta, University of Florida
4:20 PM	Asymptotics of Generalized Depth-Based Scale Processes and Applications Presentation Jin Wang, Northern Arizona University
4:35 PM	Causal Estimands and Confidence Intervals Associated with Wilcoxon-Mann-Whitney Tests in Randomized Experiments Presentation Michael Fay, National Institute of Allergy and Infectious Diseases; Erin Gabriel, Karolinska Institute; Joanna H Shih, National Cancer Institute; Dean Follmann, NIAID; Erica H Brittain, National Institute of Allergy and Infectious Diseases
4:50 PM	Closure Properties of Classes of Multiple Testing Procedures Georg Hahn
5:05 PM	Bi-S-Concave Distribution Presentation Nilanjana Laha, University of Washington*; Jon A. Wellner, University of Washington
5:20 PM	Propensity Score Stratification: Are We Doing it Wrong? Presentation Roland Matsouaka, Duke University School of Medicine
5:35 PM	Linear Errors-In-Variables Model Estimation Using the Phase Function Presentation Michael Byrd, Southern Methodist University; Linh Nghiem, Southern Methodist University; Cornelis Potgieter, Southern Methodist University

87	Sun, 7/29/2018, 8:30 PM - 10:30 PM	CC-West Hall B
Invited ePoster Session: a Statistical Smörgåsbord — Invited Poster Presentations
SSC, Section on Bayesian Statistical Science, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Biometrics Section, Section on Statistics and the Environment, Section for Statistical Programmers and Analysts, Section on Statistics in Imaging, WNAR, Social Statistics Section, Astrostatistics Special Interest Group, Biopharmaceutical Section, ENAR, Section on Risk Analysis, Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
1:	The LISA 2020 Program to Build Statistics Capacity in Developing Countries Eric Vance, LISA-University of Colorado Boulder
2:	Conditions for the Uniqueness, Finiteness, and Possible Location of the Maximum Likelihood Estimate with a Log Binomial Model Gurbakhshash Singh, University of Calgary; Gordon Hilton Fick, University of Calgary
3:	Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington
4:	An Expectation Conditional Maximization Approach for Gaussian Graphical Models Zehang Li, University of Washington; Tyler McCormick, University of Washington
5:	A Bayesian Model for Multivariate Micro-Level Insurance Claims Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University
6:	Deep Learning for Statistical Inference in Infectious Disease Systems Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
7:	Flexible Accelerated Failure Time Model in Survival Analysis Menglan Pang, McGill University; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University
8:	Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
9:	Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations Taylor Gene Pospisil, Carnegie Mellon University
10:	Zero Counts in Single Cell RNA-Seq Data Hao Wu, Emory University; Zhijin Wu, Brown University
11:	Quasi-Oracle Estimation of Heterogeneous Treatment Effects Xinkun Nie, Stanford University; Stefan Wager, Stanford University
12:	Estimation of Fire Duration Distribution with Missing Start Time Yi Xiong, Simon Fraser University; John Braun, University of British Columbia ; Joan Hu, Simon Fraser University
13:	Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
14:	Approximate Bayesian Computation for the Stellar Initial Mass Function Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University
15:	A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters Arya Farahi, University of Michigan - Ann Arbor
16:	Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data Valeriia Sherina, University of Rochester Medical Center; Love Tanzy, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center
17:	Generalized Statistical Inference for Astrophysical Discoveries Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
18:	Nonparametric Causal Effects Based on Incremental Propensity Score Interventions Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University
19:	Addressing Overfitting in Mixtures of Factor Analyzers Jeffrey L Andrews, University of British Columbia Okanagan
20:	Spatiotemporal Analysis of Environmental Health Risk Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
21:	Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data Peter A Tait, McMaster Univeristy; Paul McNicholas, McMaster University
22:	Detection of Trend Onset in Environmental Time Series Ying Zhang, Acadia University
23:	The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria
24:	Infere Steven Cumming, Université Laval
25:	Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space Peng Liu, University of Alberta; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
26:	Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved? Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
27:	Sparse Estimation for Functional Semiparametric Additive Model Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
28:	Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
29:	A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk David C. Wheeler, Virginia Commonwealth University
30:	Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data Wei Tu, University of Alberta
31:	A Model-Based Clustering to Identify Disease-Associated SNPs Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
32:	The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication Harlan Campbell, University of British Columbia; Paul Gustafson, University of British Columbia
33:	Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers Brian C Franczak, MacEwan University
34:	Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
35:	Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects? Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
36:	Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
37:	Sparse Functional Principal Component Analysis in a New Regression Framework YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
38:	Inference of Introgressive Hybridization in Anopheles Mosquito Genomes Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
39:	Statistical Methods for Addressing Missing Data in HIV/AIDS Surveillance Systems Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutch
40:	Latent Mixtures of Functions to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute

112 *	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 122
Smoothing for Spatially and Temporally Indexed Data — Topic Contributed Papers
Royal Statistical Society, Section on Nonparametric Statistics, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Philip Reiss, University of Haifa
Chair(s): Michael Lavine, University of Massachusetts, Amherst
8:35 AM	Some Model-Building Tools for Gaussian Processes, Using an Approximate Form of the Restricted Likelihood Presentation Maitreyee Bose, University of Washington; James S. Hodges, University of Minnesota; Sudipto Banerjee, UCLA School of Public Health
8:55 AM	Flexible Group Difference Tests for Age-Varying Distributions Presentation Philip Reiss, University of Haifa
9:15 AM	Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC) Presentation Jaroslaw Harezlak, Indiana University Bloomington; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:35 AM	Methods for Large Scale Smooth Space Time Modeling Presentation 1 Presentation 2 Simon Wood
10:15 AM	Floor Discussion

115 * !	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 221
Papers in Honor of Professor James R Thompson (1938-2017) — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): David W Scott, Rice University
Chair(s): David W Scott, Rice University
8:35 AM	Remembering J. R. Thompson, a Civic Scientist Presentation Katherine Ensor, Rice University
8:55 AM	Some Comments on James R. Thompson's Work in Mathematical Biology Marek Kimmel, Rice University
9:35 AM	Some Inspired Non-Parametric Portfolio Approaches of James R. Thompson Presentation John Dobelman, Rice University
9:55 AM	The Roots of James Thompson: Life as a Graduate Student at Princeton Presentation Karen Kafadar, University of Virginia
10:15 AM	Floor Discussion

120	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 208
SPEED: Nonparametric Statistics: Estimation, Testing, and Modeling — Contributed Speed
Section on Nonparametric Statistics
Chair(s): Scott Colwell, University of Guelph
Poster Presentations for this session.
8:35 AM	Quantile Function Modeling Applied to Time Between Healthcare-Associated Infection Events Presentation Jonathan R Edwards, Center for Disease Control & Prevention
8:40 AM	Model Class Reliance: Variable Importance Measures for Any Machine Learning Model Class, from the Presentation Aaron Fisher, Harvard University; Cynthia Rudin, Duke University; Francesca Dominici, Harvard T. H. Chan School of Public Health
8:45 AM	Random Conditional Histogram Based Density Estimation with Applications in Probabilistic Forecasting Presentation Rui Li, North Carolina State University; Howard D Bondell, University of Melbourne; Brian Reich, North Carolina State University
8:50 AM	Tangent Field and Multi-Fractional Brownian Motion with Applications on Stock Indices Jinqi Shen, University of Michigan; Tailen Hsing, University of Michigan
8:55 AM	Consistent Goodness-of-Fit Tests for Gamma Distributions Based on Empirical Hankel Transforms Elena Hadjicosta, Penn State University; Donald Richards, Penn State University
9:00 AM	Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University
9:05 AM	A Bootstrap-Based Test for Distributional Symmetry in SO(3) Presentation Ulrike Genschel, Iowa State University; Daniel Nordman, Iowa State University; Stephen Vardeman, Iowa State University; Yalin Rao, Iowa State University
9:10 AM	Approximate Inference for Large Non-Gaussian Spatial Data Presentation Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:15 AM	Quantile-Optimal Treatment Regimes with Censored Data Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University
9:20 AM	Multiple Imputation Using Denoising Autoencoders Presentation Lovedeep Gondara
9:30 AM	Coverage Probability of Empirical Likelihood for Dependent Data Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
9:35 AM	Semiparametric Regression for Measurement Error Model with Heteroscedastic Error Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
9:40 AM	Estimation of Regression Function Using Shannon's Entropy Presentation Yi Mao, University of California, Riverside; Aman Ullah, University of California, Riverside
9:45 AM	Wasserstein Gradients for the Temporal Evolution of Probability Distributions Presentation Yaqing Chen, University of California, Davis; Hans Mueller, UC Davis
9:50 AM	Constrained Bayesian Inference Through Posterior Projections Sayan Patra, Duke University; David B Dunson, Duke University
9:55 AM	A DCp Criterion for Nonparametric First Derivative Estimation Presentation Sisheng Liu, Fred Hutchinson Cancer Research Center; Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
10:05 AM	Statistical Methods for the Analysis of Ventilator-Free Days Presentation Charity Morgan

125 !	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 223
New Nonparametric Statistical Methods for Multivariate and Clustered Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Xuerong Wen, Missouri University of Science and Technology
8:35 AM	Nonparametric K-Sample Test on Riemannian Manifolds with Application to Analyzing Mitochondrial Shapes Presentation Ruiyi Zhang, Florida State University; Todd Ogden, Columbia University; Martin Picard, Columbia University; Anuj Srivastava, Florida State University
8:50 AM	Nonparametric Test for Homogeneity of Covariance in Multivariate Regression Presentation Yan Xu, University of Kentucky
9:05 AM	Statistical Inference of Two Classifiers by Partial Area Under the ROC Curve with Empirical Likelihood Presentation Xue Ding, University of Kentucky; Mai Zhou, University of Kentucky
9:20 AM	Rank Score Test for Regional Quantiles Treatment Effect Detection Presentation Yuan Sun, University of Michigan; Xuming He, University of Michigan
9:35 AM	Fully Nonparametric Methods for Partially Complete Clustered Data Yue Cui, Department of Statistics
9:50 AM	Testing Factor-Covariate Interaction in Rank Repeated-Measures Analysis of Covariance ModelsTesting Factor-Covariate Interaction in Rank Repeated-Measures Analysis of Covariance Mo Presentation Donghui Zhang, Sanofi; Chunpeng Fan, Sanofi
10:05 AM	Floor Discussion

152 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 205
Frontiers of High-Dimensional and Complex Data analysis — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Nonparametric Statistics, SSC
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yangxin Huang, University of South Florida
10:35 AM	Data Enriched Generalized Linear Methods Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwaukee ; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Asad Haris, University of Washington
10:55 AM	Statistically and Numerically Efficient Independence Tests That Are Based on Distances Presentation Xiaoming Huo, Georgia Institute of Technology, ; Cheng Huang, Georgia Institute of Technology
11:15 AM	Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters Presentation Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:35 AM	A Bernstein-Type Inequality for U-Statistics Under Mixing Conditions Presentation Fang Han, University of Washington; Yandi Shen, University of Washington; Daniela Witten, University of Washington
11:55 AM	Ensemble Estimation and Variable Selection with Semiparametric Regression Models Presentation Sunyoung Shin, University of Texas at Dallas; Yufeng Liu, University of North Carolina at Chapel Hill; Stephen Cole, University of North Carolina at Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill
12:15 PM	Floor Discussion

171 !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 117
New Nonparametric Methods for Correlated Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Jingshen Wang, University of Michigan
10:35 AM	Sparse Single Index Models for Multivariate Responses Yuan Feng, North Carolina State University; Luo Xiao, North Carolina State University; Eric Chi, North Carolina State University
10:50 AM	Gradient-Based Approach to Sufficient Dimension Reduction for Functional and Longitudinal Data Presentation Ming-Yueh Huang, Academia Sinica; Kwun Chuen Gary Chan, University of Washington
11:05 AM	Spatial Clustering Using Spatio-Temporal Network Data Presentation Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:20 AM	Generalized Additive Models for Spatial Data Distributed on Complicated Domains Presentation Shan Yu, Iowa State University; Lily Wang, Iowa State University
11:35 AM	Ultra-High-Dimensional Single-Index Models for Longitudinal Data Brittany Green, University of Cincinnati; Yan Yu, University of Cincinnati; Dr. LIAN Heng, City University of Hong Kong
11:50 AM	Smoothing Spline ANOVA Models for Nonparametric Covariance Estimation for Longitudinal Data Presentation Tayler Blake, Information Control Company; Yoonkyung Lee, Ohio State University
12:05 PM	Spatially Varying Coefficient Autoregressive Models Presentation Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary; Lily Wang, Iowa State University

188	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: Section on Nonparametric Statistics — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Paul McNicholas, McMaster University
28:	Four-Way Interaction Effects on the Major Depressive Disorder Based on Multifactor Dimensionality Reduction Method Jung Yeon Lee, NYU School of Medicine; Wonkuk Kim, Chung-Ang University; Judith S Brook, NYU School of Medicine
29:	Randomization Tests in Randomized Clinical Trials: Beyond Population Yanying Wang, George Mason University; Diane Uschner, RWTH Aachen University; William Fisher Rosenberger, George Mason University
30:	Nonparametric Group Sequential Methods for Recurrent and Terminal Events from Multiple Follow-Up Windows Meng Xia, University of Michigan; Susan Murray, University of Michigan; Nabihah Tayob, The University of Texas MD Anderson Cancer Center
31:	A Nonparametric Shift-Based Slope Estimator William Tressel
33:	Simultaneous Confidence Intervals for Scale Using Permutation Tests Scott Richter, University of North Carolina At Greensboro; Melinda McCann, Oklahoma State University
34:	Multivariate Change Point Detection Michael Messer, Institute of Mathematics, Goethe University, Frankfurt, Germany; Gaby Schneider, Institute of Mathematics, Goethe University, Frankfurt, Germany
35:	Adaptive Classification on Partial Linear Models Chitrak Banerjee, Michigan State University; Lyudmila Sakhanenko, Michigan State University

198	Mon, 7/30/2018, 11:35 AM - 12:20 PM	CC-West Hall B
SPEED: Nonparametric Statistics: Estimation, Testing, and Modeling — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Quantile Function Modeling Applied to Time Between Healthcare-Associated Infection Events Jonathan R Edwards, Center for Disease Control & Prevention
2:	Model Class Reliance: Variable Importance Measures for Any Machine Learning Model Class, from the Aaron Fisher, Harvard University; Cynthia Rudin, Duke University; Francesca Dominici, Harvard T. H. Chan School of Public Health
3:	Random Conditional Histogram Based Density Estimation with Applications in Probabilistic Forecasting Rui Li, North Carolina State University; Howard D Bondell, University of Melbourne; Brian Reich, North Carolina State University
4:	Tangent Field and Multi-Fractional Brownian Motion with Applications on Stock Indices Jinqi Shen, University of Michigan; Tailen Hsing, University of Michigan
5:	Consistent Goodness-of-Fit Tests for Gamma Distributions Based on Empirical Hankel Transforms Elena Hadjicosta, Penn State University; Donald Richards, Penn State University
6:	Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University
7:	A Bootstrap-Based Test for Distributional Symmetry in SO(3) Ulrike Genschel, Iowa State University; Daniel Nordman, Iowa State University; Stephen Vardeman, Iowa State University; Yalin Rao, Iowa State University
8:	Approximate Inference for Large Non-Gaussian Spatial Data Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:	Quantile-Optimal Treatment Regimes with Censored Data Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University
10:	Multiple Imputation Using Denoising Autoencoders Lovedeep Gondara
11:	Coverage Probability of Empirical Likelihood for Dependent Data Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
12:	Semiparametric Regression for Measurement Error Model with Heteroscedastic Error Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
13:	Estimation of Regression Function Using Shannon's Entropy Yi Mao, University of California, Riverside; Aman Ullah, University of California, Riverside
14:	Wasserstein Gradients for the Temporal Evolution of Probability Distributions Yaqing Chen, University of California, Davis; Hans Mueller, UC Davis
15:	Constrained Bayesian Inference Through Posterior Projections Sayan Patra, Duke University; David B Dunson, Duke University
17:	A DCp Criterion for Nonparametric First Derivative Estimation Sisheng Liu, Fred Hutchinson Cancer Research Center; Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
19:	Statistical Methods for the Analysis of Ventilator-Free Days Charity Morgan
Oral Presentations for this session.

215 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 224
Non- and Semiparametric Methods to Accommodate Dependency and Heterogeneity in Complex Data — Invited Papers
Section on Nonparametric Statistics, IMS, Lifetime Data Analysis Interest Group, SSC
Organizer(s): Naisyin Wang, U of Michigan
Chair(s): Gongjun Xu, University of Michigan
2:05 PM	Nonparametric Bayesian Priors for Hidden Markov Random Fields Florence Forbes, INRIA; Hongliang Lu, INRIA; Julyan Arbel, INRIA
2:30 PM	Nonparametric Modeling of Longitudinal Compositional Data as Trajectories on the Sphere Hans Mueller, UC Davis; Xiongtao G Dai, University of California, Davis
2:55 PM	Goodness-of-Fit Tests in Proportional Hazards Models with Random Effects Presentation Ingrid Van Keilegom, KU Leuven; Wenceslao Gonzalez Manteiga, University of Santiago de Compostela; Maria Dolores Martinez Miranda, University of Granada
3:20 PM	Discussant: Naisyin Wang, U of Michigan
3:45 PM	Floor Discussion

225 *	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 219
The Interface of Functional Data Analysis and Biomedical Applications — Topic Contributed Papers
Biometrics Section, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Gen Li, Columbia University
Chair(s): Gen Li, Columbia University
2:05 PM	Multiple Change Point Detection for Symmetric Positive Definite Matrices Dehan Kong, University of Toronto; Zhenhua Lin, University of Toronto; Qiang Sun, University of Toronto
2:25 PM	Gradient Synchronization to Quantify Brain Functional Connectivity Jane-Ling Wang, Univ of California-Davis; Yang Zhou, UC Davis; Hans Mueller, UC Davis; Owen Carmichael, Pennington Biomedical Research Center
3:05 PM	Manifold Data Analysis with Applications to High-Resolution 3D Imaging Matthew Reimherr, Pennsylvania State University
3:25 PM	A Bootstrap-Based Goodness-of-Fit Test of Covariance for Functional Data Presentation Luo Xiao, North Carolina State University; Stephanie Chen, North Carolina State University; Ana-Maria Staicu, NC State University
3:45 PM	Floor Discussion

274 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 110
Random Forests in Big Data, Machine Learning and Statistics — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing, SSC
Organizer(s): Ruoqing Zhu, University of Illinois Urbana-Champaign
Chair(s): Yifan Cui, University of North Carolina at Chapel Hill
8:35 AM	Standard Errors and Confidence Intervals for Variable Importance in Random Forest Regression, Classification, and Survival Presentation Hemant Ishwaran, University of Miami
8:55 AM	Random Forests for Big Data Presentation Jean-Michel Poggi, LMO, University Paris Sud; Robin Genuer, ISPED, Univ. Bordeaux ; Nathalie Villa-Vialaneix, MIA-T, INRA of Toulouse; Christine Tuleau-Malot , University Nice, CNRS, LJAD
9:15 AM	Distributional Trees and Forests Presentation Lisa Schlosser, University of Innsbruck; Torsten Hothorn, University of Zurich; Reto Stauffer, University of Innsbruck; Achim Zeileis, University of Innsbruck
9:35 AM	Beyond the Bagg: Consistent Importance Intervals for Random Forest Predictors Lucas Mentch, University of Pittsburgh; Giles Hooker, Cornell University
9:55 AM	On the Asymptotics of Tree-Based Survival Models Presentation Ruoqing Zhu, University of Illinois Urbana-Champaign; Yifan Cui, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill; Mai Zhou, University of Kentucky
10:15 AM	Floor Discussion

305 !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 117
New Nonparametric Methods for Functional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Jeffrey Woo, University of Virginia
8:35 AM	Testing for Generalized Scalar-On-Function Linear Models Presentation Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, NC State University
8:50 AM	M-Based Simultaneous Inference for Functional Data Presentation Guanqun Cao, Auburn University; Nedret Billor, Auburn University; Italo Costa Lima, auburn university
9:05 AM	On the Covariance Estimation and Principal Component Analysis for Spatially Dependent Functional Data Haozhe Zhang, Iowa State University; Yehua Li, University of California, Riverside
9:20 AM	Functional Regression Models with Highly Irregular Designs Justin Petrovich, Pennsylvania State University; Matthew Reimherr, Pennsylvania State University; Carrie Daymont, Penn State Hershey Medical Center
9:35 AM	Nonlinear Support Vector Machine for Multivariate Functional Data with Applications to fMRI and EEG Data Analysis Presentation Zheye Yuan, Penn State Univ; Bing Li, The Pennsylvania State University
9:50 AM	Adaptive Function-On-Scalar Smoothing Elastic Net Presentation Ardalan Mirshani, The Pennsylvania State University; Matthew Reimherr, Pennsylvania State University
10:05 AM	Sparse Functional Principal Component Analysis in a New Regression Framework Presentation Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University

320 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 118
Practical and Realistic Variable Selection Methods — Invited Papers
IMS, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, SSC
Organizer(s): Linda Zhao, University of Pennsylvania
Chair(s): Sayan Mukherjee, Duke University
10:35 AM	Generalized CP and the Bootstrap for Variable Selection in Moderate or High-Dimensional Data Lawrence D Brown, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Linda Zhao, University of Pennsylvania
11:05 AM	Multidimensional Monotonicity Discovery with MBART Edward George, Wharton, University of Pennsylvania; Robert McCulloch, Arizona State University; Hugh Chipman, Acadia University; Tom Shively, University of Texas at Austin
11:35 AM	Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent Presentation Weijie Su, University of Pennsylvania; Yuancheng Zhu, University of Pennsylvania
12:05 PM	Floor Discussion

329 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 121
Novel Developments in Functional Data Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, Section on Nonparametric Statistics
Organizer(s): Andrada E Ivanescu, Montclair State University
Chair(s): Ciprian Crainiceanu, Johns Hopkins University
10:35 AM	Registration for Exponential Functional Data Presentation Julia Wrobel; Jeff Goldsmith, Columbia University
10:55 AM	Outlier Detection in Dynamic Functional Models Presentation Andrada E Ivanescu, Montclair State University; William Checkley, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
11:15 AM	Functional Graphical Models for Analyzing Interactions Between Animals Jan Gertheiss, Clausthal University of Technology
11:35 AM	Tidyfun: a New Framework for Representing and Working with Function-Valued Data Presentation Fabian Scheipl, LMU Munich; Jeff Goldsmith, Columbia University
11:55 AM	Floor Discussion

333	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 116
Section on Nonparametric Statistics - Student Paper Awards — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Howard D Bondell, University of Melbourne
Chair(s): Howard D Bondell, University of Melbourne
10:35 AM	Inference on Average Treatment Effect with Repeated Data Splitting in High Dimensions Presentation Jingshen Wang, University of Michigan; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
10:55 AM	Bayesian Spline Smoothing with Ambiguous Penalties Presentation Xinlian Zhang, University of Georgia; Gauri Sankar Datta, University of Gerogia; Ping Ma, University of Georgia; Wenxuan Zhong, University of Georgia
11:15 AM	Supervised Principal Component Regression for Functional Data with High-Dimensional Predictors Xinyi Zhang, University of California, Berkeley; Dehan Kong, University of Toronto; Qiang Sun, University of Toronto
11:35 AM	Optimal Estimation in Functional ANOVA Models with Derivatives Presentation Xiaowu Dai, University of Wisconsin Madison; Peter Chien, University of Wisconsin-Madison
11:55 AM	Frechet Analysis of Variance for Random Objects Paromita Dubey, University of California, Davis; Hans Mueller, UC Davis
12:15 PM	Floor Discussion

346 !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 115
Recent Advances in Nonparametric Statistical Methods — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Xiao Wu, Harvard University
10:35 AM	Nonparametric Change Point Detection of Periodic Data Presentation Lingzhe Guo, The George Washington University; Reza Modarres, The George Washington University
10:50 AM	Adjusted Empirical Likelihood Based Inference for ROC Curves Presentation Haiyan Su, Montclair State University
11:05 AM	Bounds on the Efficiency of Unbalanced Ranked-Set Sampling Presentation Jesse Frey, Villanova University
11:20 AM	Nonparametric Operator-Regularized Covariance Function Estimation for Functional Data Presentation Xiaoke Zhang, George Washington University; Raymond Wong, Texas A&M University
11:35 AM	Equivalent Kernels of Local Polynomial Fitting in Varying Coefficient Models Chunyen Wu, Institute of Statistics, National Tsing Hua University, TAIWAN; Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
11:50 AM	Nonparametric Estimation of Risk Tracking Indices for Longitudinal Studies Xin Tian, National Heart, Lung and Blood Institute; Colin O. Wu, National Heart, Lung and Blood Institute, NIH
12:05 PM	Nonparametric Inference on L\'Evy Measures of L\'Evy-Driven Ornstein-Uhlenbeck Processes Presentation Daisuke Kurisu

381 !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 212
High-Dimensional Nonparametric Statistics — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, IMS, SSC
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lan Wang, University of Minnesota
2:05 PM	High-Dimensional Sign Tests for the Direction of a Skewed Single-Spiked Distribution Presentation Davy Paindaveine, Université libre de Bruxelles; Thomas Verdebout, Université libre de Bruxelles
2:30 PM	Robust Estimation, Efficiency, and Lasso Debiasing Presentation Po-Ling Loh, UW-Madison
3:20 PM	MASES: a Nonparametric Dimension Reduction Approach Hui Zou, University of Minnesota; Qing Mai, Florida State University; Xin Zhang, Florida State University
3:45 PM	Floor Discussion

216459	Tue, 7/31/2018, 5:30 PM - 7:00 PM	CC-West 112
Section on Nonparametric Statistics — Other Cmte/Business
Section on Nonparametric Statistics
Chair(s): Ingrid Van Keilegom, KU Leuven

449 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-East 10
Recent Advances in Change-Point Detection and Segmentation — Invited Papers
Section on Nonparametric Statistics, IMS, ENAR
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): Rebecca Killick, Lancaster University
8:35 AM	High-Dimensional Change Point Estimation via Sparse Projection Presentation Tengyao Wang, University of Cambridge; Richard J Samworth, University of Cambridge
8:55 AM	Exact Spike Train Inference via $\Ell_0$ Optimization Daniela Witten, University of Washington; Sean Jewell, University of Washington
9:15 AM	Finite Alphabet Blind Separation Merle Behr, University of Goettingen; Axel Munk, University of Goettingen; Chris Holmes, University of Oxford
9:35 AM	Making Change-Point Detection Data-Adaptive Presentation Piotr Fryzlewicz, London School of Economics
9:55 AM	Detection and Estimation of Local Signals David O Siegmund, Stanford University
10:15 AM	Floor Discussion

452 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 109
Advancements in Complex Functional Data Analysis — Invited Papers
ENAR, Biometrics Section, Section on Nonparametric Statistics, SSC
Organizer(s): Luo Xiao, North Carolina State University
Chair(s): Luo Xiao, North Carolina State University
8:35 AM	Boosting Functional Response Models for Location, Scale, and Shape with an Application to Bacterial Competition Almond Stöcker, LMU Munich; Sarah Brockhaus, LMU Munich; Sophia Schaffer, LMU Munich; Benedikt von Bronk, LMU Munich; Madeleine Opitz, LMU Munich; Sonja Greven, LMU Munich
9:00 AM	Matrix Factorization Approaches to Analysis of Functional Count Data Presentation 1 Presentation 2 Daniel Backenroth, Columbia University; Russell T Shinohara, University of Pennsylvania; Jeff Goldsmith, Columbia University
9:25 AM	Longitudinal Dynamic Functional Regression: Modeling and Inference Md Islam, North Carolina State University; Ana-Maria Staicu, NC State University; Eric van Heugten, North Carolina State University
9:50 AM	Bayesian Regression Models for Big Spatially or Longitudinally Correlated Functional Data Presentation Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Lin Zhang, University of Minnesota; Hongxiao Zhu, Virginia Tech University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Hojin Yang, The University of Texas M.D. Anderson Cancer Center; Wonyul Lee, Food and Drug Administration; Michelle Miranda, The University of Texas M.D. Anderson Cancer Center; Philip Rausch, Humboldt University
10:15 AM	Floor Discussion

455 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-East 16
Recent Advances in Multiple Graph Inference — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Vince Lyzinski, University of Massachusetts Amherst; Daniel L Sussman, Boston University
Chair(s): Daniel L Sussman, Boston University
8:35 AM	Omnibus Embeddings for Mutliple Graph Inference Presentation Avanti Athreya, Johns Hopkins University; Keith Levin, University of Michigan; Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Vince Lyzinski, University of Massachusetts Amherst
9:00 AM	Graph Matching and Subsequent Inference in Errorfully Observed Network Data Vince Lyzinski, University of Massachusetts Amherst
9:25 AM	Scalable Bayes Inference on Big Dependent Networks Presentation David B Dunson, Duke University
9:50 AM	Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
10:15 AM	Floor Discussion

522 !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-East 9
Recent Advances in Semiparametric Statistical Methods — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Michelle M Wiest, University of Idaho
10:35 AM	Semiparametric Mixture Regression Under a Symmetric Unimodal Error Distribution Linden Yuan, University of Maryland
10:50 AM	Approximate Pointwise Tolerance Intervals for Semiparametric Regression Models Presentation Kedai Cheng, University of Kentucky; Derek S. Young, University of Kentucky
11:05 AM	Sparse Model Identification and Learning for Ultra-High-Dimensional Additive Partially Linear Models Presentation Xinyi Li; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University
11:20 AM	Inference for Covariate-Adjusted Semiparametric Gaussian Copula Model Using Residual Ranks Presentation Yue Zhao, KU Leuven; Irene Gijbels, KU Leuven; Ingrid Van Keilegom, KU Leuven
11:35 AM	One-Step and Two-Step Estimation in a Time-Varying Parametric Model Presentation Bogdan Gadidov, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University; Brad Barney, Brigham Young University
11:50 AM	Floor Discussion

566	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 215/216
Nonparametrics on Graphs — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, SSC
Organizer(s): Ryan Tibshirani, Carnegie Mellon University
Chair(s): Edward Kennedy, Carnegie Mellon University
2:05 PM	Signal Processing Over Graphs: Methods and Applications James Sharpnack, UC Davis
2:35 PM	Multiresolution Matrix Factorization for Inference on Graphs Risi Kondor, University of Chicago
3:05 PM	Fundamental Limits of Sampling Smooth Signals on Graphs Rohan A. Varma, Carnegie Mellon University; Aarti Singh, Carnegie Mellon University
3:35 PM	Floor Discussion

570 * !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 222
New Frontiers of Functional Data Analysis — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Nonparametric Statistics, JASA, Theory and Methods
Organizer(s): Yehua Li, Iowa State University
Chair(s): Shujie Ma, UC Riverside-Dept of Statistics
2:05 PM	Partially Linear Functional Additive Models for Multivariate Functional Data Presentation Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:25 PM	Functional Variance Change Point Analysis for Big Data with an Application to Liver Procurement Presentation Pang Du, Virginia Tech; Zhenguo Gao, Virginia Tech; Ran Jin, Virginia Tech; John Robertson, Virginia Tech
2:45 PM	Semiparametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes Presentation Yongtao Guan; Jingfei Zhang, University of Miami
3:05 PM	A Functional Dependence Measure for Large Curve Time Series with an Application to Autoregressions Xinghao Qiao, LSE; Shaojun Guo, Renmin University of China
3:25 PM	Principal Weighted Support Vector Machines for Sufficient Dimension Reduction in Binary Classification Presentation Hao Helen Zhang, University of Arizona
3:45 PM	Floor Discussion

571 !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 115
Statistical Signal Processing Applied to Physical Activity Research — Topic Contributed Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Quality and Productivity Section
Organizer(s): Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University
Chair(s): Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
2:05 PM	A Functional Data Analysis Framework for Objectively Measured Physical Activity by Accelerometers Presentation Chongzhi Di, Fred Hutchinson Cancer Research Center
2:25 PM	Unsupervised Clustering of Physical Activities and Its Application in Health Studies Presentation 1 Presentation 2 Jiawei Bai, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
2:45 PM	Classification of Walking and Stair Climbing Based on Raw Accelerometry Data Presentation William Fadel, Indiana University; Jacek K Urbanek, Johns Hopkins University; Steven R Albertson, Indiana University ; Xiaochun Li, Indiana University; Andrea K Chomistek, Indiana University; Jaroslaw Harezlak, Indiana University Bloomington
3:05 PM	Continuous Movelet Transformation in Application to Individual Walking Strides Segmentation in Accelerometry Data Marta Karas, Johns Hopkins Bloomberg SPH; Jaroslaw Harezlak, Indiana University Bloomington; Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; William Fadel, Indiana University; Ciprian Crainiceanu, Johns Hopkins University; Jacek K Urbanek, Johns Hopkins University
3:25 PM	Advanced Signal Processing Methods in Walking and Body-Posture Detection in Observational Studies Presentation Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; Jacek K Urbanek, Johns Hopkins University; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Nancy Glynn, University of Pittsburgh Graduate School of Public Health; Tamara Harris, National Institute on Aging; Ciprian Crainiceanu, Johns Hopkins University; Jaroslaw Harezlak, Indiana University Bloomington
3:45 PM	Floor Discussion

584	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 218
Advances in Semi- and Nonparametric Statistical Analysis — Contributed Papers
IMS, Section on Nonparametric Statistics
Chair(s): Zheng-Zheng Tang, University of Wisconsin-Madison
2:05 PM	Asymptotics and Optimal Bandwidth Selection for Nonparametric Estimation of Density Level Sets Presentation Wanli Qiao, George Mason University
2:20 PM	Generalized Semiparametric Approach to One-Way Analysis of Variance Presentation Chathurangi Pathiravsan, Southern Illinois University Carbondale; Bhaskar Bhattacharya, Southern Illinois University Carbondale
2:35 PM	Unified Estimation Methods for Unnormalized Models Using Auxiliary Distributions Presentation Masatoshi Uehara, Harvard Unversity; Xiao-Li Meng, Harvard University
2:50 PM	The Bootstrap in Extreme Value Theory Chen Zhou, De Nederlandsche Bank
3:05 PM	Nonparametric Empirical Bayes Tweedie's Estimator for Normal Means with Heteroscedastic Errors Presentation Luella Fu, USC Marshall School of Business; Gareth James, USC Marshall School of Business; Wenguang Sun, USC Marshall School of Business
3:20 PM	ESTIMATION of a MONOTONE DENSITY in S-SAMPLE BIASED SAMPLING MODELS Presentation Hok Kan Ling, Columbia University; Kwun Chuen Gary Chan, University of Washington; Tony Sit, The Chinese University of Hong Kong; Sheung Chi Phillip Yam, The Chinese University of Hong Kong
3:35 PM	Jackknife Empirical Likelihood for Time Series Data in Frequency Domain Kenichiro Tamaki, Waseda University

585 !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 219
Recent Advances in Quantile Regression — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Yu Zhou, University of Minnesota
2:05 PM	Time-Variant Nonparametric Quantile Estimation: One-Step Vs Two-Step Methods Presentation Mohammed Chowdhury, Kennesaw State University
2:20 PM	Average Extreme Regression Quantile and Its Two-Step Version Presentation Jana Jureckova, Charles University
2:35 PM	Extreme Inference of Nonparametric Quantile Regression with Heavy Tailed Data Presentation Takuma Yoshida
2:50 PM	Variable Selection in Quantile Varying Coefficient Models with Heteroscedastic Error Mohammed Abdulkerim Ibrahim, Hasselt University; Anneleen Verhasselt, Hasselt University
3:05 PM	Nonparametric Quantile Curves of Health Risk Factors for American Adolescents Presentation Jessica Rudd, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University
3:20 PM	Tests for Patterned Alternatives Using Logarithmic Quantile Estimation Presentation Mark Ledbetter, Old Dominion University; Lucia Tabacu, Old Dominion University
3:35 PM	Floor Discussion

616 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 219
New Advances in Semiparametric Modeling and Testing for Complex Data — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
Chair(s): Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
8:35 AM	The Role of Kernels in Data Analysis Presentation Marianthi Markatou, University at Buffalo
8:55 AM	Inverse Regression for Multivariate Functional Data Presentation Ci-Ren Jiang, Academia Sinica; Lu-Hung Chen, National Chung-Hsing University
9:15 AM	A Test of Homogeneity for Two-Sample, Two-Component Mixture Models Presentation Ollivier Hyrien, Fred Hutchinson Cancer Research Center
9:35 AM	Additive Modeling for Longitudinal Data via Classical Backfitting Presentation Suneel Babu Chatla; Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
9:55 AM	Yakovlev Promotion Time Cure Model with Local Polynomial Estimation Presentation Li-Hsiang Lin, Georgia Tech; Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
10:15 AM	Floor Discussion

629	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 218
New Developments in Nonparametric and Semiparametric Statistics — Contributed Papers
Section on Nonparametric Statistics, Royal Statistical Society, ENAR
Chair(s): Qing Wu, University of Nevada, Las Vegas
8:35 AM	Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths Presentation Nima Hejazi, Group in Biostatistics, UC Berkeley
8:50 AM	Measuring Lexical Dispersion in Corpus Linguistics Presentation Brent Burch, Northern Arizona University; Jesse Egbert, Northern Arizona University; Douglas Biber, Northern Arizona University
9:05 AM	A First-Order Multiresolution Analysis of Point Processes Presentation Youssef Taleb, Imperial College London; Edward A K Cohen, Imperial College London
9:20 AM	A Flexible Zero-Inflated Regression Model Eric Roemmele; Derek S. Young, University of Kentucky
9:35 AM	Wavelet Coherence for Multivariate Point Processes Presentation Edward A K Cohen, Imperial College London; Alex J Gibberd, Imperial College London
9:50 AM	An Integrated Bayesian Nonparameteric Method for Clustering of High-Dimensional Mixed Data Chetkar Jha, University of Missouri; Subharup Guha, University of Florida
10:05 AM	CRSP: Modeling Stochastically Intransitive Relationships Between NBA Teams Ryan Patrick Alexander McShane, Southern Methodist University; Ian Harris, Southern Methodist University

640 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 206/207
Quantile Based Modeling for a Variety of Heteroscedastic Data — Invited Papers
Section on Nonparametric Statistics
Organizer(s): Naveen Naidu Narisetty, University of Illinois at Urbana Champaign
Chair(s): Juan Shen, Fudan University
10:35 AM	A New Approach to Censored Quantile Regression Estimation Presentation Naveen Naidu Narisetty, University of Illinois at Urbana Champaign
11:00 AM	Quantile Regression--Based Clustering for Panel Data Presentation Huixia Judy Wang, The George Washington University; Yingying Zhang, Fudan University; Zhongyi Zhu, Fudan University
11:25 AM	Trajectory Quantile Regression for Longitudinal Data Huijuan Ma, Emory University; Limin Peng, Emory University; Haoda Fu, Eli Lilly and Company
11:50 AM	Bayesian Single-Index Model for Bounded Mental Health Response with Functional Covariates Debajyoti Sinha, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL
12:15 PM	Floor Discussion

645	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 217
Recent Developments in Score Matching with Big-Data Applications — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Mladen Kolar, University of Chicago Booth School of Business
Chair(s): Mladen Kolar, University of Chicago Booth School of Business
10:35 AM	The Beauty of Score Matching Estimators for Distributions on Manifolds with Some Cutting-Edge Applications KANTI V MARDIA, UNIVERSITY OF LEEDS
11:00 AM	Scoring Rules for Probabilistic Binary Classification Presentation Matthew Parry, University of Otago
11:25 AM	Efficient and Principled Score Estimation Presentation Arthur Gretton, UCL
12:15 PM	Floor Discussion

669 !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 219
New Nonparametric Statistical Methods for High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Robert L. Wood, Resonate & Wichita State University
10:35 AM	Covariate Information for Sure Independence Feature Screening in Ultrahigh- Dimensional Supervised Problems Presentation Debmalya Nandy, The Pennsylvania State University; Francesca Chiaromonte, The Pennsylvania State University; Runze Li, The Pennsylvania State University
10:50 AM	Graphical Investigation of the Geometry of High and Infinite Dimensional Data Presentation Wolfgang Polonik, University of California, Davis; Gabriel Chandler, Pomona College
11:05 AM	Sequentially Weighted Nearest Neighbour Classifier Presentation Mehdi Soleymani, The University of Auckland
11:20 AM	Bayesian Ising Sparse Nonparametric Model Presentation Inyoung Kim, Virginia Tech; Zaili Fang, Virginia Tech; Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.
11:35 AM	A Smooth Simultaneous Confidence Band for Correlation Curve Presentation Yuanyuan Zhang, Tsinghua University; Lijian Yang, Tsinghua University
11:50 AM	Floor Discussion

JSM 2018 Online Program

Activity Details

American Statistical Association