Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
Activity Details
62 !
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W178b
Recent Advances in Bayesian Nonparametric Methods — Topic Contributed Papers
Section on Nonparametric Statistics , Section on Bayesian Statistical Science , IMS , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Peter Mueller, The University of Texas at Austin
Chair(s): Peter Mueller, The University of Texas at Austin
4:05 PM
Bayesian High-Dimensional Sparse Models with Unknown Symmetric Errors
—
Lizhen Lin, The University of Texas ; Minwoo Chae, The University of Texas at Austin ; David Dunson, Duke University
4:25 PM
On time-dependent Gibbs-type random probability measures
—
Igor Pruenster, Bocconi University
4:45 PM
On the transition function of some time-dependent Dirichlet and gamma processes
—
Antonio Lijoi, University of Pavia
5:05 PM
Posterior Contraction of the Population Structure in Admixture Models
—
Long Nguyen
5:25 PM
On GEM diffusive mixtures
—
Ramses Mena, Universidad Nacional Autónoma de México ; Luis Gutierrez, Universidad de Chile
5:45 PM
Floor Discussion
83
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W187b
Nonparametric and Semiparametric Methods — Contributed Papers
International Chinese Statistical Association , Section on Nonparametric Statistics
Chair(s): Hubert J. Chen, University of Georgia
4:05 PM
Comparison of Difference-Based Variance Estimators for Partially Linear Models
—
Guoyi Zhang, University of New Mexico
4:20 PM
A Class of Minimum Distance Estimators in AR(P) Models with Infinite Error Variance
—
Xiaoyu Li, Auburn University ; Hira L. Koul, Michigan State University
4:35 PM
Simultaneous Confidence Band for Survey Data
—
Jiangyan Wang, Soochow University ; Suojin Wang, Texas A&M University ; Lijian Yang, Soochow University
4:50 PM
On Nonparametric Estimation of Distributionally Ordered Survival Functions
—
Hsun-Chih Kuo, National Chengchi University
5:05 PM
Treatment Allocation Methods Using Ordered Statistics
—
Yisong Huang, Georgia Southern University ; Hani Samawi, Georgia Southern University
5:20 PM
Center and Log Range Models for Interval-Valued Data with an Application to Forecast Stock Returns
—
Ying Wang, Peking University ; Yundong Tu, Peking University
5:35 PM
Floor Discussion
86 !
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W179b
Biomedical Applications of Nonparametric Methods — Contributed Papers
Section on Nonparametric Statistics , International Chinese Statistical Association
Chair(s): Sunil Mathur, Georgia Regents University
4:05 PM
Predictive Accuracy of Markers or Risk Scores for Interval-Censored Survival Data
—
Yuan Wu, Duke University ; Xiaofei Wang, Duke University ; Kouros Owzar, Duke University
4:20 PM
Dimension Reduction and Estimation in Secondary Analysis of Case-Control Studies
—
Liang Liang, Texas A&M University ; Yanyuan Ma, University of South Carolina ; Raymond Carroll, Texas A&M University
4:35 PM
Composite Bootstrap Test with Counterintuitive Resampling Method to Compare Two Groups: An Application to Randomized Clinical Trials
—
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso ; Christopher Dodoo, Texas Tech University Health Sciences Center El Paso ; Sada Nand Dwivedi, All India Institute of Medical Sciences ; Rakesh Shukla, University of Cincinnati
4:50 PM
Shared Frailty in Joint Model of Cancer Incidence, Metastases, and Mortality
—
Qui Tran, University of Michigan ; Kelley M. Kidwell, University of Michigan ; Alex Tsodikov, University of Michigan
5:05 PM
Two-Sample Inference on Quantile Lost Lifespan
—
Lauren Balmert, University of Pittsburgh ; Jong-Hyeon Jeong, University of Pittsburgh
5:20 PM
A Structural equation model for a dental health related quality of life framework
—
Ana Nora Donaldson, SUNY Stony Brook ; Nairn Wilson, King's College London ; James Wallace, Bradford University ; Nelarine Cornelius, Bradford University School of Management ; Angelo Passalacqua, King's College London
5:35 PM
Time Series Smoother
—
Cheng You, Penn State University ; Dennis K. J. Lin, Penn State University ; Stanley Young, National Institute of Statistical Sciences
102 * !
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W179a
Advances in Bayesian Regression Tree Modeling — Invited Papers
Section on Bayesian Statistical Science , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA) , Committee on Applied Statisticians , Conference on Statistical Practice Steering Committee
Organizer(s): Matthew Pratola, The Ohio State University
Chair(s): Matthew Pratola, The Ohio State University
8:35 AM
BART for Classification
—
Robert B. Gramacy, The University of Chicago
9:00 AM
Dispersion Modeling with an Ensemble of Trees
—
Hugh Chipman, Acadia University ; Matthew Pratola, The Ohio State University ; Robert McCulloch, The University of Chicago ; Edward I. George, The Wharton School
9:25 AM
Nonparametric Regression with Instrumental Variables
—
Purushottam Laud, Medical College of Wisconsin ; Robert McCulloch, The University of Chicago ; Rodney Sparapani, Medical College of Wisconsin
9:50 AM
Bayesian Additive Regression Trees: Extensions and Embedding in Complex Models
—
Jared S. Murray, Carnegie Mellon University
10:15 AM
Floor Discussion
124
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W181b
SPEED: Advances in Nonparametric Statistics — Contributed Speed
Section on Nonparametric Statistics
Chair(s): Derek Young, University of Kentucky
8:35 AM
A Nonparametric Procedure for Change Point Detection in Linear Regression
—
Sunil Mathur, Georgia Regents University ; Jing Sun, Augusta University ; Deepak Sakate, Augusta University
8:40 AM
Convolution Weighting in Compound Estimation with or Without Heteroscedasticity
—
Sisheng Liu, University of Kentucky ; Richard Charnigo, University of Kentucky ; Cidambi Srinivasan, University of Kentucky
8:45 AM
Nonparametric Kernel Estimation Using Ranks and Values
—
Nicholas Kaukis, Oklahoma State University
8:50 AM
Measuring and Testing Mutual Multivariate Independence Based on Distance Covariance
—
Ze Jin, Cornell University ; David Matteson, Cornell University
8:55 AM
Testing the Sphericity of a Covariance Matrix When the Dimension Is Much Larger Than the Sample Size
—
Zeng Li, The University of Hong Kong
9:00 AM
AUC Regression for Multiple Comparisons of Monotone Zero-Dose Control Experiments
—
Johanna Van Zyl, Baylor University ; Jack D. Tubbs, Baylor University
9:05 AM
Location and Scale Parameters Testing by Empirical Likelihood Estimation
—
Ningning Wang, Jackson State University
9:15 AM
Convolutional Functional Autoregressive Models: Model Building, Asymptotics, and Empirical Results
—
Xialu Liu, San Diego State University
9:20 AM
Variable Bandwidth Local Polynomial Smoothing via Local Cross-Validation
—
Katherine Grzesik, University of Rochester ; Derick R. Peterson, University of Rochester
9:30 AM
Period Estimation for Sparsely Sampled Quasi-Periodic Functions: Application to Mira Variable Stars
—
Shiyuan He, Texas A&M University
9:35 AM
Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
—
Dana Yang, Yale University
9:40 AM
Semiparametric Estimation for Multivariate Skew-Elliptical Distributions
—
Jing Huang, European School of Management and Technology
9:45 AM
Test for Conditional Random Signs Censoring in Competing Risks
—
Shannon Woolley
9:55 AM
Significance Tests for Time-Varying Covariate Effect in Longitudinal Functional Data
—
Saebitna Oh, North Carolina State University ; Ana-Maria Staicu, North Carolina State University
10:00 AM
Estimation of Genetic Risk Function with Covariates in the Presence of Missing Genotypes
—
Annie J. Lee, Columbia University ; Yuanjia Wang, Columbia University ; Karen Marder, Columbia University ; Roy N. Alcalay, Columbia University
10:05 AM
An Agent-Based Modeling Approach for Tobacco Product Risk Assessments
—
Raheema Muhammad-Kah, Altria Client Services ; Yezdi B. Pithawalla, Altria Client Services ; Maria Gogova, Altria Client Services ; Lai Wei, Altria Client Services ; Edward L. Boone, Virginia Commonwealth University
10:10 AM
A STEPP Forward in Tailoring Treatment: New Research on the STEPP Methodology
—
Wai-Ki Yip, Dana-Farber Cancer Institute
10:15 AM
Floor Discussion
125 *
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W187a
Statistical Methods for Functional Data — Contributed Papers
Biometrics Section , Biopharmaceutical Section , Section on Nonparametric Statistics , Section on Statistics in Imaging
Chair(s): Andrada E. Ivanescu, Montclair State University
8:35 AM
Fast Covariance Estimation for Sparse Functional Data
—
Cai Li, North Carolina State University ; Luo Xiao, North Carolina State University ; William Checkley, The Johns Hopkins University ; Ciprian Crainiceanu, The Johns Hopkins University
8:50 AM
Estimation of Functional Connectivity Among Neuron Ensembles via Hawkes Processes
—
Shizhe Chen, University of Washington ; Eric Shae-Brown, University of Washington ; Ali Shojaie, University of Washington ; Daniela Witten, University of Washington
9:05 AM
Classification of Multivariate EEG Records via $\Epsilon$-Complexity of Continuous Vector-Functions
—
Alexandra Piryatinska, San Francisco State University ; Boris Darkhovsky, Institute for Systems Analysis ; Nathanael Aff, San Francisco State University
9:20 AM
Statistical Model Selection in Differential Equations Using PACE Software for Functional Regression.
—
Charles Smith, North Carolina State University
9:35 AM
Penalized Regression Method for Finding Differences in Brain Connectome Graphs
—
Donghyeon Yu, Keimyung University
9:50 AM
Tensor Regression with Functionally Linked Parameters
—
Su Chen, University of Memphis ; Ebenezer Olusegun George, University of Memphis
10:05 AM
Functional Mixed-Effects Models for Longitudinal Data: An Application to Electrical Impedance Myography Data
—
Kush Kapur, Boston Children's Hospital/Harvard Medical School ; Rajesh Selukar, SAS Institute ; Basil Darras, Boston Children's Hospital ; Seward Rutkove, Beth Israel Deaconess Medical Center
139
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W177
Bayesian Nonparametrics — Contributed Papers
Section on Bayesian Statistical Science , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA)
Chair(s): Robert Richardson, Brigham Young University
8:35 AM
Bayesian Estimation of Heavy-Tailed Densities Using Transformations
—
Andrew Bean, The Ohio State University ; Xinyi Xu, The Ohio State University ; Steven N. MacEachern, The Ohio State University
8:50 AM
The Attraction Indian Buffet Distribution
—
David Dahl, Brigham Young University ; Arthur Lui, University of California at Santa Cruz
9:05 AM
Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
—
Gregory Watson, University of California at Los Angeles ; Donatello Telesca, University of California at Los Angeles
9:20 AM
Nonlocal Functional Priors for Nonparametric Bayesian Testing
—
Minsuk Shin, Texas A&M University ; Valen E. Johnson, Texas A&M University ; Anirban Bhattacharya, Texas A&M University
9:35 AM
A Bayesian Formulation for Capturing Population Heterogeneity
—
Junxian Geng, Florida State University ; Elizabeth Slate, Florida State University
9:50 AM
A Nonparametric Bayesian Approach for Sparse Sequence Estimation
—
Yunbo Ouyang, University of Illinois at Urbana-Champaign ; Feng Liang, University of Illinois at Urbana-Champaign
10:05 AM
A Bayesian Approach to Generalized Signed-Rank Estimation for Nonlinear Models with Multidimensional Indices
—
Eddy Kwessi, Trinity University ; Brice Merlin Nguelifack, U.S. Naval Academy ; Guy-vanie Miakonkana, African School of Economics
156 !
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W178a
Shedding Lights on the Hidden Structure Using Mixture Models: New Methods with Applications — Topic Contributed Papers
Section on Nonparametric Statistics , ENAR , International Chinese Statistical Association
Organizer(s): Zheyu Wang, The Johns Hopkins University
Chair(s): Charles Doss, University of Minnesota
10:35 AM
Empirical Bayesball Remixed: Empirical Bayes Methods for Longitudinal Data
—
Roger Koenker, University of Illinois
10:55 AM
Stochastic EM-like Algorithms for Fitting Finite Mixture of Lifetime Regression Models Under Right Censoring
—
Laurent Bordes ; Didier Chauveau, University of Orleans
11:15 AM
Nonparametric Identifiability of Finite Mixture Model and It's Application in Alzheimer's Disease
—
Zheyu Wang, The Johns Hopkins University ; Xiao-Hua Andrew Zhou, University of Washington
11:35 AM
Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities
—
Didier Chauveau, University of Orleans ; Vy Thuy Lynh Hoang, University of Orleans
11:55 AM
Clustering via Finite Nonparametric ICA Mixture Models
—
David Hunter, Penn State University ; Xiaotian Zhu, AbbVie
12:15 PM
Floor Discussion
182
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W177
Nonparametric Statistics — Contributed Papers
IMS , Section on Nonparametric Statistics
Chair(s): Miles Lopes, University of California at Davis
10:35 AM
A Nonparametric Regression Model for Panel Count Data Analysis
—
Huadong Zhao, East China Normal University
10:50 AM
An ADMM-Based Algorithm for Envelope Estimation
—
Emre Barut, The George Washington University
11:05 AM
Structure Testing for Sparse High-Dimensional Graphical Models: Lower Bounds and Algorithms
—
Matey Neykov, Princeton ; Junwei Lu, Princeton ; Han Liu, Princeton
11:20 AM
Semiparametric Estimates of the Long-Term Background Trend, Periodictiy, and Clustering Effect in Crime Data
—
Jiancang Zhuang, Institute of Statistical Mathematics ; Jorge Mateau, Universitat Jaume I de Castelló
11:35 AM
Large-Scale Cluster Analysis Using Fusion Penalties
—
Trambak Banerjee, University of Southern California ; Peter Radchenko, University of Southern California ; Gourab Mukherjee, University of Southern California
11:50 AM
A Unified Framework for Bayes Factor Asymptotics
—
Todd Kuffner, Washington University in St. Louis ; Siddhartha Chib, Washington University in St. Louis
12:05 PM
Nonparametric Regression Method for Broad Sense Agreement
—
AKM F. Rahman, Emory University ; Limin Peng, Emory University ; Amita Manatunga, Emory University ; Ying Guo, Emory University
185 !
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W178b
Special Session: Section on Nonparametrics Student Paper Competition — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Jianhui Zhou, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community
10:35 AM
A Two-Sample Test for High-Dimensional Covariance Matrices via Sparse Principal Component Analysis
—
Lingxue Zhu, Carnegie Mellon University ; Jing Lei, Carnegie Mellon University ; Bernie Devlin, University of Pittsburgh School of Medicine ; Kathryn Roeder, Carnegie Mellon University
10:50 AM
Optimal Bayes Classifiers for Functional Data and Density Ratios
—
Xiongtao Dai, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community ; Hans-Georg Mueller, University of California at Davis ; Fang Yao, University of Toronto
11:05 AM
Estimating Network Edge Probabilities by Neighborhood Smoothing
—
Yuan Zhang, University of Michigan ; Elizaveta Levina, University of Michigan ; Ji Zhu, University of Michigan
11:20 AM
Nonparametric Distributed Learning Architecture: Algorithm and Application
—
Scott Bruce, Temple University ; Zeda Li, Temple University ; Hsiang-Chieh Yang, Temple University ; Subhadeep Mukhopadhyay, Temple University Fox School of Business
11:35 AM
Testing Mutual Independence in High Dimension via Distance Covariance
—
SHUN YAO, University of Illinois at Urbana-Champaign ; Xianyang Zhang, Texas A&M University ; Xiaofeng Shao, University of Illinois at Urbana-Champaign
11:50 AM
Nonparametric Change-Point Detection in Multivariate Nonstationary Time Series
—
Raanju Ragavendar Sundararajan, Texas A&M University ; Mohsen Pourahmadi, Texas A&M University
12:05 PM
Floor Discussion
194
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-Hall F1 West
Contributed Poster Presentations: Section on Nonparametric Statistics — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Genevera Allen, Rice University
37:
Estimation of the Simultaneous Confidence Regions for the Ratios of Quantile Residual Lifetimes
—
Yu-Mei Chang
38:
Testing for Interaction in Functional Varying-Coefficient Models
—
Merve Tekbudak, North Carolina State University
39:
Dynamic Modeling with Conditional Quantile Trajectories for Longitudinal Snippet Data, with Application to Cognitive Decline of Alzheimer's Patients
—
Matthew Dawson, University of California at Davis ; Hans-Georg Mueller, University of California at Davis
40:
A Comparison of Bootstrap Methods for Multilevel Longitudinal Data
—
Lanlan Yao, Arizona State University ; Mark Reiser, Arizona State University
41:
Pairwise Comparison of Scale Using Medians and Permutation Tests
—
Scott Richter, The University of North Carolina at Greensboro ; Melinda McCann, Oklahoma State University
42:
Kernel Smoothing for Hierarchical Data
—
Christopher Wilson ; Patrick Gerard, Clemson University
46:
Bayesian Approach to Survival Models for Events of Insurance Claims
—
Prashant KC, Minnesota State University Mankato ; Deepak Sanjel, Minnesota State University Mankato
201
Mon, 8/1/2016,
10:30 AM -
11:15 AM
CC-Hall F1 West
SPEED: Advances in Nonparametric Statistics, Part 2A — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Genevera Allen, Rice University
11:
A Nonparametric Procedure for Change Point Detection in Linear Regression
—
Sunil Mathur, Georgia Regents University ; Jing Sun, Augusta University ; Deepak Sakate, Augusta University
12:
Convolution Weighting in Compound Estimation with or Without Heteroscedasticity
—
Sisheng Liu, University of Kentucky ; Richard Charnigo, University of Kentucky ; Cidambi Srinivasan, University of Kentucky
13:
Nonparametric Kernel Estimation Using Ranks and Values
—
Nicholas Kaukis, Oklahoma State University
14:
Measuring and Testing Mutual Multivariate Independence Based on Distance Covariance
—
Ze Jin, Cornell University ; David Matteson, Cornell University
15:
Testing the Sphericity of a Covariance Matrix When the Dimension Is Much Larger Than the Sample Size
—
Zeng Li, The University of Hong Kong
16:
AUC Regression for Multiple Comparisons of Monotone Zero-Dose Control Experiments
—
Johanna Van Zyl, Baylor University ; Jack D. Tubbs, Baylor University
17:
Location and Scale Parameters Testing by Empirical Likelihood Estimation
—
Ningning Wang, Jackson State University
19:
Convolutional Functional Autoregressive Models: Model Building, Asymptotics, and Empirical Results
—
Xialu Liu, San Diego State University
20:
Variable Bandwidth Local Polynomial Smoothing via Local Cross-Validation
—
Katherine Grzesik, University of Rochester ; Derick R. Peterson, University of Rochester
The oral portion will take place during Session 213159
204
Mon, 8/1/2016,
11:35 AM -
12:20 PM
CC-Hall F1 West
SPEED: Advances in Nonparametric Statistics, Part 2B — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Genevera Allen, Rice University
11:
Period Estimation for Sparsely Sampled Quasi-Periodic Functions: Application to Mira Variable Stars
—
Shiyuan He, Texas A&M University
12:
Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
—
Dana Yang, Yale University
13:
Semiparametric Estimation for Multivariate Skew-Elliptical Distributions
—
Jing Huang, European School of Management and Technology
14:
Test for Conditional Random Signs Censoring in Competing Risks
—
Shannon Woolley
16:
Significance Tests for Time-Varying Covariate Effect in Longitudinal Functional Data
—
Saebitna Oh, North Carolina State University ; Ana-Maria Staicu, North Carolina State University
17:
Estimation of Genetic Risk Function with Covariates in the Presence of Missing Genotypes
—
Annie J. Lee, Columbia University ; Yuanjia Wang, Columbia University ; Karen Marder, Columbia University ; Roy N. Alcalay, Columbia University
18:
An Agent-Based Modeling Approach for Tobacco Product Risk Assessments
—
Raheema Muhammad-Kah, Altria Client Services ; Yezdi B. Pithawalla, Altria Client Services ; Maria Gogova, Altria Client Services ; Lai Wei, Altria Client Services ; Edward L. Boone, Virginia Commonwealth University
19:
A STEPP Forward in Tailoring Treatment: New Research on the STEPP Methodology
—
Wai-Ki Yip, Dana-Farber Cancer Institute
The oral portion will take place during Session 213159
CE_21C
Mon, 8/1/2016,
1:00 PM -
5:00 PM
CC-W475a
Confidence Distribution: A New Statistical Inference Approach and Its Applications in Meta-Analysis and Fusion Learning (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Nonparametric Statistics
Instructor(s): Minge Xie, Rutgers University, Regina Liu, Rutgers University, Dungang Liu, University of Cincinnati
1:00 PM
Confidence Distribution: A New Statistical Inference Approach and Its Applications in Meta-Analysis and Fusion Learning (ADDED FEE)
—
Dungang Liu, University of Cincinnati ; Minge Xie, Rutgers University ; Regina Liu, Rutgers University
223 * !
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W187b
Nonparametric Bayesian Methods in Biostatistics — Invited Papers
Section on Bayesian Statistical Science , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA) , International Chinese Statistical Association
Organizer(s): Jeremy M. G. Taylor, University of Michigan, Lili Zhao, University of Michigan
Chair(s): Lili Zhao, University of Michigan
2:05 PM
DPOAE Test-Retest Difference Curves via Hierarchical Gaussian Processes
—
Timothy Hanson, University of South Carolina ; Junshu Bao, University of South Carolina ; Garnett McMillan, National Center for Rehabilitative Auditory Research ; Kristin Knight, National Center for Rehabilitative Auditory Research
2:30 PM
Bayesian Nonparametric Modeling and Inference for Mean Residual Life Functions
—
Athanasios Kottas, University of California at Santa Cruz ; Valerie Poynor, California State University at Fullerton
2:55 PM
Bayesian Nonparametric Methods for Precision Medicine
—
Qian Guan, North Carolina State University ; Eric Laber, North Carolina State University ; Dipankar Bandyopadhyay, Virginia Commonwealth University ; Brian J. Reich, North Carolina State University
3:20 PM
Discussant: Peter Mueller, The University of Texas at Austin
3:40 PM
Floor Discussion
260 !
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W186c
Nonparametric Methods for 'Big Data' — Contributed Papers
Section on Nonparametric Statistics , International Chinese Statistical Association
Chair(s): K.B. Kulasekera, University of Louisville
2:05 PM
Optimal Design for Sampling Functional Data
—
So-Young Park, North Carolina State University ; Luo Xiao, North Carolina State University ; Jayson Wilbur, Metrum Research Group ; Ana-Maria Staicu, North Carolina State University
2:20 PM
The Blessing of Derivatives in Nonparametric Estimation
—
Xiaowu Dai, University of Wisconsin - Madison ; Grace Wahba, University of Wisconsin - Madison ; Peter Qian, University of Wisconsin - Madison
2:35 PM
Big Data Algorithms for Rank-Based Estimation
—
John Kapenga, Western Michigan University ; John Kloke, University of Wisconsin ; Joseph McKean, Western Michigan University
2:50 PM
Quantifying Spread in 3-D Rotation Data: Comparison of Nonparametric and Parametric Techniques
—
Melissa Bingham, University of Wisconsin-La Crosse
3:05 PM
Hypothesis Testing for Multilayer Network Data
—
Jun Li, Boston University ; Eric D. Kolaczyk, Boston University
3:20 PM
On Estimation of the Specification of Random Fields
—
Zsolt Talata, University of Kansas
3:35 PM
Nonparametric Estimation Using Wavelet Tensor and Hyperbolic Wavelets with Fractional Gaussian Fields
—
Justin Wishart, Macquarie University
324 !
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W176b
Nonparametric Methods for High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics , International Chinese Statistical Association
Chair(s): Su Chen, University of Memphis
8:35 AM
Optimal Estimation and Variable Selection for Multivariate Varying Coefficient Model with Functional Response
—
Simeng Qu, Purdue University ; Xiao Wang, Purdue University
8:50 AM
Fisher Discrimination Matrix and Dimension Reduction
—
Debmalya Nandy, Penn State University ; Weixin Yao, University of California at Riverside ; Bruce George Lindsay, Penn State University ; Francesca George Chiaromonte, Penn State University
9:05 AM
Depth Functions and Medians on the Minimal Spanning Tree
—
Reza Modarres, The George Washington University
9:20 AM
Depth Functions and Classification Using Beta-Skeleton Graphs
—
Yu Song, The George Washington University
9:35 AM
Conditional Variable Screening with Trace Pursuit
—
Lei Huo, Missouri University of Science and Technology ; Xuerong Wen, Missouri University of Science and Technology ; Zhou Yu, East China Normal University ; Lu Lin, Shandong University
9:50 AM
Total Variation Depth for Functional Data: Properties and Applications
—
Huang Huang, KAUST ; Ying Sun, King Abdullah University of Science and Technology
10:05 AM
On a General Halfspace Depth Trimmed Scatter Matrix
—
Jin Wang, Northern Arizona University
329 * !
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W175a
Recent Advances in Inference for Measurement Error Regression Models — Invited Papers
Section on Nonparametric Statistics , International Chinese Statistical Association
Organizer(s): Hira L. Koul, Michigan State University
Chair(s): Hira L. Koul, Michigan State University
10:35 AM
Nonparametric Covariate-Adjusted Regression
—
Aurore Delaigle, University of Melbourne ; Wenxin Zhou, Princeton ; Peter Hall, University of Melbourne
11:00 AM
Two Stage Non-penalized Corrected Least Squares for High Dimensional Linear Models with Measurement error or Missing Covariates
—
Abhishek Kaul, National Institute of Environmental Health Sciences
11:50 AM
An Adaptive-to-Model Test for Parametric Single-Index Errors-in-Covariables Models
—
Lixing Zhu, Hong Kong Baptist University ; Hira L. Koul, Michigan State University ; Chuan-Long Xie, Hong Kong Baptist University
12:15 PM
Floor Discussion
369 !
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W175b
Nonstandard Errors: Heteroskedasticity and Errors-in-Variables — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Esther Lu, Washington University School of Medicine
10:50 AM
Semiparametric Efficient Estimators in Heteroscedastic Error Models
—
Mijeong Kim, Ewha Womans University ; Yanyuan Ma, University of South Carolina
11:05 AM
Lag Selection and Model Validation in Nonparametric Autoregressive Conditional Heteroscedastic Models
—
Seonjin Kim, Miami University ; Adriano Zambom, Loyola University Chicago
11:20 AM
Testing Low-Dimensional Coefficients in High-Dimensional Heteroscedastic Linear Models
—
Honglang Wang, Indiana University Purdue University Indianapolis ; Ping-Shou Zhong, Michigan State University ; Yuehua Cui, Michigan State University
11:35 AM
Multivariate Smoothing Regression of Vector Valued Functions with Error in Variables Using a Bayesian Approach
—
Eduardo Trujillo Rivera
11:50 AM
Model Checking in Errors-in-Variable Tobit Regression Using Validation Data
—
Pei Geng
12:05 PM
Accelerated Nonparametric Maximum Likelihood Density Deconvolution Using Bernstein Polynomial
—
Zhong Guan, Indiana University South Bend
421 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W187c
Nonparametric Methods for Longitudinal Data to Promote Healthy Birth, Growth, and Development — Topic Contributed Papers
Section on Nonparametric Statistics , International Chinese Statistical Association
Organizer(s): Hans-Georg Mueller, University of California at Davis
Chair(s): Jayson Wilbur, Metrum Research Group
2:05 PM
Characterizing Child Growth Trajectories
—
Louise Ryan, University of Technology Sydney ; - Team Members , Healthy Birth, Growth and Development knowledge integration (HBGDki) Community
2:25 PM
Curve-Matching for Child Growth and Development: A Delicate Interplay of Smart Data Processing and Statistical Principles
—
Stef van Buuren, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community
2:45 PM
Estimation of Interpretable Growth Curves
—
Jianhui Zhou, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community ; Yin Zhang, University of Virginia ; Rashidul Haque, International Centre for Diarrhoeal Diseas Research ; William A. Petri, University of Virginia ; Jennie Z. Ma, University of Virginia
3:05 PM
Optimal Designs for Longitudinal Studies via Functional Data Analysis
—
Hao Ji, University of California at Davis ; Hans-Georg Mueller, University of California at Davis
3:25 PM
Functional Data Analysis for Sparse and Irregular Longitudinal MRI Measurements in the Developing Brain
—
Xiongtao Dai, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community ; Hans-Georg Mueller, University of California at Davis ; Jane-Ling Wang, University of California at Davis
3:45 PM
Floor Discussion
508 !
Wed, 8/3/2016,
8:30 AM -
10:20 AM
CC-W186b
Nonparametric Methods for Longitudinal Data — Contributed Papers
Section on Nonparametric Statistics , International Chinese Statistical Association
Chair(s): Bilin Zeng, California State University at Bakersfield
8:35 AM
Longitudinal Principal Component Analysis
—
Christopher Kinson, University of Illinois at Urbana-Champaign ; Xiwei Tang, University of Illinois at Urbana-Champaign ; Annie Qu, University of Illinois at Urbana-Champaign
8:50 AM
Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
—
Jianfei Zheng, Oregon State University ; Lan Xue, Oregon State University
9:05 AM
Semiparametric Stochastic Mixed Models for Bivariate Periodic Longitudinal Data
—
Kexin Ji, University of Waterloo ; Joel Dubin, University of Waterloo
9:20 AM
A Partial Likelihood Approach to Multivariate Multiscale Functional Data Analysis
—
Andrew Potter, University of Pittsburgh ; Stewart J. Anderson, University of Pittsburgh
9:35 AM
Analysis of Asynchronous Longitudinal Data with Partially Linear Model
—
Li Chen, University of Missouri
9:50 AM
Unified Inference for Sparse and Dense Longitudinal Data in Time-Varying Coefficient Models
—
Yixin Chen, Sanofi ; Weixin Yao, University of California at Riverside
10:05 AM
Multiple Imputation Method Based on Weighted Quantile Regression Models for Longitudinal Censored Biomarker Data with Missing Early Visits
—
MinJae Lee, The University of Texas Health Science Center at Houston ; Mohammad H. Rahbar, The University of Texas Health Science Center at Houston ; John D. Reveille, The University of Texas Health Science Center at Houston ; Michael Weisman, Cedars-Sinai Medical Center ; Michael M. Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases ; Lianne Gensler, University of California at San Francisco ; Matthew Brown, University of Queensland Diamantina Institute
532 !
Wed, 8/3/2016,
10:30 AM -
12:20 PM
CC-W176a
Novel Statistical Methods for Deciphering Genotype-Phenotype Map — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Chuanhua Julia Xing, XPrecision
Chair(s): Olga A. Vsevolozhskaya, University of Kentucky
10:55 AM
Variable Selection with Correlated Bivariate Mixed Outcomes Using Penalized Generalized Estimating Equations
—
Ved Deshpande, University of Connecticut ; Elizabeth Schifano, University of Connecticut ; Dipak Dey, University of Connecticut
11:15 AM
Robust Semiparametric Methods for Analysis of Multivariate Secondary Phenotypes in Case-Control Genome-Wide Association Studies
—
Chuanhua Julia Xing, XPrecision ; Elizabeth Schifano, University of Connecticut ; Xihong Lin, Harvard T.H. Chan School of Public Health
11:35 AM
Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Complex Traits and Improve Signal Prioritization in Genome-Wide Association Studies
—
Qiongshi Lu, Yale University ; Ryan Powles, Yale University ; Qian Wang, Yale University ; Beixin He, Yale New Haven Hospital ; Hongyu Zhao, Yale University
11:55 AM
Efficient Semiparametric Inference Under Two-Phase Sampling, with Applications to Genetic Association Studies
—
Ran Tao, The University of North Carolina at Chapel Hill ; Donglin Zeng, The University of North Carolina at Chapel Hill ; Danyu Lin, The University of North Carolina at Chapel Hill
12:15 PM
Floor Discussion
553 !
Wed, 8/3/2016,
10:30 AM -
12:20 PM
CC-W176b
Nonparametric Models — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Vanda Lourenco, Universidade Nova de Lisboa
10:35 AM
Eigenvalue Concentration in the Finite-Dimensional Random Dot Product Graph Model
—
Joshua Cape, The Johns Hopkins University ; Minh Tang, The Johns Hopkins University ; Carey Priebe, The Johns Hopkins University
10:50 AM
Optimal Estimation of Derivatives in Nonparametric Regression
—
Wenlin Dai, King Abdullah University of Science and Technology ; Marc Genton, KAUST ; Tiejun Tong, Hong Kong Baptist University
11:05 AM
Reduced Sample-Compressed Learning of Big Probability Distributions
—
Subhadeep Mukhopadhyay, Temple University Fox School of Business
11:20 AM
Semiparametric Generalized Linear Models for Time-Series Data
—
Thomas Fung, Macquarie University ; Alan Huang, University of Queensland
11:35 AM
Estimation and Variable Selection for the Quantile Partially Linear Single-Index Model
—
Yuankun Zhang, University of Cincinnati ; Heng Lian, University of New South Wales ; Yan Yu, University of Cincinnati
11:50 AM
Rank-Based Group Variable Selection
—
Brice Merlin Nguelifack, U.S. Naval Academy
12:05 PM
Floor Discussion
587
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W176a
Resampling Methods for High-Dimensional Inference — Invited Papers
Section on Nonparametric Statistics
Organizer(s): Miles Lopes, University of California at Davis
Chair(s): Eric Chi, North Carolina State University
2:05 PM
Union of Intersections (UoI) Method for Bootstrap-Based Interpretable Discovery
—
Sharmodeep Bhattacharyya, Oregon State University ; Kristofer Bouchard, Lawrence Berkeley National Laboratory ; Michael W. Mahoney, University of California at Berkeley ; Farbod Roosta-Khorasani, University of California at Berkeley ; Alejandro F. Bujan, University of California at Berkeley
2:30 PM
Post-Hoc Edge Testing for the Graphical Lasso
—
Maxwell Jacob Grazier G'Sell, Carnegie Mellon University ; William Fithian, University of California at Berkeley
2:55 PM
Bootstrapping Spectral Statistics in High Dimensions
—
Miles Lopes, University of California at Davis
3:20 PM
A Nonparametric Rao-Blackwell Theorem with Application to Selective Inference
—
Dennis Sun, Cal Poly/Google
3:45 PM
Floor Discussion
599 *
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W184a
Bayesian Nonparametric and Semiparametric Methods for Causal Inference — Topic Contributed Papers
Biometrics Section , Biopharmaceutical Section , Section on Nonparametric Statistics , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science , International Chinese Statistical Association
Organizer(s): Kirsten J. Lum, University of Pennsylvania
Chair(s): Jason Roy, University of Pennsylvania
2:05 PM
Accounting for Uncertainty in Confounder and Effect Modifier Selection When Estimating Average Causal Effects in Generalized Linear Models
—
Chi Wang, University of Kentucky ; Francesca Dominici, Harvard T.H. Chan School of Public Health ; Giovanni Parmigiani, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health ; Corwin Zigler, Harvard T.H. Chan School of Public Health
2:25 PM
A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
—
George Karabatsos, University of Illinois at Chicago
2:45 PM
A Bayesian Nonparametric Causal Inference Model for Comparative Effectiveness Research
—
Chenguang Wang, The Johns Hopkins University
3:05 PM
Bayesian Semiparametric Latent Mediation Model
—
Chanmin Kim, Harvard ; Michael Daniels, The University of Texas at Austin ; Yisheng Li, MD Anderson Cancer Center
3:25 PM
Floor Discussion
622 !
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W177
Nonparametric Tests — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Jin Wang, Northern Arizona University
2:05 PM
Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans
—
Ery Arias-Castro, University of California at San Diego ; Rui Castro, Technische Universiteit Eindhoven ; Ervin Tanczos, Technische Universiteit Eindhoven ; Meng Wang, University of California at San Diego
2:20 PM
An Algorithm with Applications in Ranked-Set Sampling
—
Yimin Zhang, Villanova University ; Jesse Frey, Villanova University
2:35 PM
On Multiple Comparisons Based on Ranks in ANOVA Models
—
Hossein Mansouri, Texas Tech University ; Bo Li, Texas Tech University
2:50 PM
New Nonparametric Tests of Fit on the Orthogonal Group
—
Amir Sepehri, Stanford University
3:05 PM
A Nonparametric Bootstrap Test for Checking the Equality of the Correlation Structures of Two Correlated Time Series
—
Lei Jin, Texas A&M University - Corpus Christi ; Suojin Wang, Texas A&M University
3:20 PM
Model Selection Probabilities
—
Xin Lu Tan ; Andreas Buja, The Wharton School ; Lawrence D. Brown, University of Pennsylvania ; Abba Krieger, University of Pennsylvania ; Zongming Ma, University of Pennsylvania
3:35 PM
Sample Size Planning of Two-Arm Trials Generating Discrete Quantitative Data to Be Analyzed by Means of the Mann-Whitney-Wilcoxon Statistic
—
Stefan Wellek, CIMH/University of Heidelberg
638 !
Thu, 8/4/2016,
8:30 AM -
10:20 AM
CC-W192c
New Frontiers in Analyzing Complex Data in Epidemiology — Topic Contributed Papers
Section on Nonparametric Statistics , Section on Statistics in Epidemiology , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Chad He, Fred Hutchinson Cancer Research Center
Chair(s): Chad He, Fred Hutchinson Cancer Research Center
8:35 AM
Regression for Partially Observed Household Epidemics
—
Forrest Crawford, Yale University
8:55 AM
A Bayesian Approach for Envelope Models
—
Zhihua Su ; Kshitij Khare, University of Florida ; Subhadip Pal, Emory University
9:15 AM
Dimension Reduction for Identification of Candidate Immune Correlates of Vaccine Efficacy
—
Paul T. Edlefsen, Fred Hutchinson Cancer Research Center
9:35 AM
The Latent Low-Rank Model to Co-Localize Genetic Risk Variants in Multiple GWAS
—
Jin Liu, Duke University NUS Medical School ; Can Yang, Hong Kong Baptist University
9:55 AM
Estimation for Bivariate Quantile Varying Coefficient Model
—
Linglong Kong, University of Alberta ; Haoxu Shu, University of Alberta ; Chad He, Fred Hutchinson Cancer Research Center ; Giseon Heo, University of Alberta ; Martin Styner, The University of North Carolina at Chapel Hill ; John Gilmore, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill
10:15 AM
Floor Discussion
667 !
Thu, 8/4/2016,
8:30 AM -
10:20 AM
CC-W193a
Applications of Nonparametric Methods — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Megan Heyman, Rose-Hulman Institute of Technology
8:35 AM
Estimation of Heterogeneity for Multinomial Probit Models
—
Yixi Xu ; Qiang Liu, Purdue University ; Xiao Wang, Purdue University
8:50 AM
Dirichlet Process Mixture of Voigt Profiles with Application to Peak Detection in X-Ray Photoelectron Spectroscopy Data
—
Anton Lobach, University of Rhode Island ; Gavino Puggioni, University of Rhode Island ; David Heskett, University of Rhode Island ; Benjamin Young, Rhode Island College
9:05 AM
Capitalizing on the Use of Basis Sets in Regression Spline Mixed Models
—
Karen Nielsen
9:20 AM
Predicting High-Spending Customers Using Semiparametric Quantile Regression
—
Adam Maidman, University of Minnesota ; Lan Wang, University of Minnesota
9:35 AM
Nonparametric Kernel Density Estimation Using Auxiliary Information from Complex Survey Data
—
Sayed A. Mostafa, Oklahoma State University ; Ibrahim A. Ahmad, Oklahoma State University
9:50 AM
Density Estimation on the Sphere as a Solution of the Heat Equation
—
Jonathan Odumegwu, Central Michigan University ; Mohamed Amezziane, Central Michigan University
10:05 AM
Floor Discussion
709 !
Thu, 8/4/2016,
10:30 AM -
12:20 PM
CC-W194a
Nonparametric Methods with Nonstandard Assumptions and Conditions — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Ran Dai, The University of Chicago
10:35 AM
Consistent Estimation in Partially Linear Models with Correlated Observations
—
Liangdong Fan ; Cidambi Srinivasan, University of Kentucky ; Richard Charnigo, University of Kentucky
11:05 AM
A Cluster-Based Outlier Detection Scheme for Multivariate Data
—
J. Marcus Jobe, Miami University of Ohio (Retired) ; Michael Pokojovy, Karlsruhe Institute of Technology
11:20 AM
Robust Cluster-Based Estimators of Mean Vector and Covariance Matrix
—
Michael Pokojovy, Karlsruhe Institute of Technology ; J. Marcus Jobe, Miami University of Ohio (Retired)
11:50 AM
Statistical Estimation in the Presence of Possibly Incorrect Model Assumptions
—
Sergey Tarima, Medical College of Wisconsin
12:05 PM
Floor Discussion