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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details


2 * ! 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-315
Phase Variation (Curve Registration) in Functional Data Analyzing — Invited Papers
Section on Nonparametric Statistics , Section on Statistical Learning and Data Science , Section on Statistical Computing
Organizer(s): J. S. (Steve) Marron, University of North Carolina
Chair(s): Jan Gertheiss, Clausthal University of Technology
2:05 PM Clustering Misaligned Dependent Curves — Piercesare Secchi, Politecnico di Milano ; Konrad Abramowicz, Umea University ; Per Arnqvist, Umea University ; Sara Sj¨ostedt de Luna, Umea University ; Simone Vantini, Politecnico di Milano ; Valeria Vitelli, University of Oslo
2:30 PM Spatial Modeling of Object Data: Analysing Dialect Sound Variations Across the UK — Shahin Tavakoli, University of Cambridge ; Davide Pigoli, University of Cambridge ; John AD Aston, University of Cambridge
2:55 PM Data driven estimates of PDE parameters: an application to image registration — Michelle Carey, University College Dublin ; James O. Ramsay, McGill University
3:20 PM Registration of Functional Data Using the Fisher-Rao Metric — Sebastian Kurtek, The Ohio State University ; Anuj Srivastava, Florida State University ; Wei Wu, Florida State University ; Eric Klassen, Florida State University ; J. S. (Steve) Marron, University of North Carolina
3:45 PM Discussant: J. S. (Steve) Marron, University of North Carolina
3:45 PM Floor Discussion
 
 

5 ! 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-314
New Developments in Functional Data — Invited Papers
IMS , Section on Nonparametric Statistics
Organizer(s): Aurore Delaigle, University of Melbourne
Chair(s): Marianna Pensky, University of Central Florida
2:05 PM From Brain to Hand to Statistics with Dynamic Smoothing — James O. Ramsay, McGill University
2:30 PM Testing Curvature in Functional Single Index Models: Inference for Reaction Norms in Ecology — Giles J Hooker, Cornell University ; Zi Ye, Cornell University
2:55 PM Mixture Inner Product Spaces and Their Application to Functional Data Analysis — Hans-Georg G Müller, University of California, Davis ; Fang Yao, University of Toronto ; Zhenhua Lin, University of Toronto
3:20 PM Clusering functional data using projections — Aurore Delaigle, University of Melbourne ; Peter Hall, University of Melbourne ; Tung Pham, University of Melbourne
3:45 PM Floor Discussion
 
 

16 ! 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-340
Recent Advances and Challenges in High-Dimensional Data Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science , IMS , Section on Nonparametric Statistics
Organizer(s): Pierre Bellec, Rutgers University
Chair(s): Dan Yang, Rutgers University
2:05 PM On the Asymptotic Performance of Bridge Estimators — Arian Maleki, Columbia Univ ; Haolei Weng, Columbia University ; Shuaiwen Wang, Columbia University
2:25 PM A General Framework for Uncovering Dependence Networks — Johannes Lederer, University of Washington
2:45 PM The Generalized Lasso Problem and Uniqueness — Alnur Ali ; Ryan Tibshirani, Carnegie Mellon University
3:05 PM Distributed Statistical Estimation and Rates of Convergence in Normal Approximation — Stanislav Minsker, University of Southern California
3:25 PM Slope Meets Lasso in Sparse Linear Regression — Pierre Bellec, Rutgers University
3:45 PM Floor Discussion
 
 

35 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-313
Special Session: Section on Nonparametric Statistics Student Paper Competition — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Howard Bondell, NC State University
2:05 PM Network Dependence Testing via Diffusion Maps and Distance-Based Correlations — Youjin Lee, Johns Hopkins Bloomberg School of Public Health ; Cencheng Shen, Johns Hopkins University ; Joshua Vogelstein, Johns Hopkins
2:20 PM Network Cross-Validation by Edge Sampling — Tianxi Li ; Liza Levina, University of Michigan ; Ji Zhu, University of Michigan
2:35 PM Optimal Penalized Function-On-Function Regression Under a Reproducing Kernel Hilbert Space Framework — Xiaoxiao Sun, University of Georgia ; Pang Du, Virginia Tech ; Xiao Wang, Purdue University ; Ping Ma, University of Georgia
2:50 PM Functional Autoregression for Sparsely Sampled Data — Daniel Kowal, Cornell University ; David S Matteson, Cornell University ; David Ruppert, Cornell University
3:05 PM Bayesian Nonparametric Variable Selection for Optimal Treatment Decisions — Rui Li, North Carolina State University ; Brian Reich, NCSU ; Howard Bondell, NC State University
3:20 PM Tree Based Weighted Learning for Estimating Individualized Treatment Rules with Censored Data — Yifan Cui, University of North Carolina at Chapel Hill ; Ruoqing Zhu, University of Illinois Urbana-Champaign ; Michael R Kosorok, University of North Carolina at Chapel Hill
3:35 PM Floor Discussion
 
 

50 ! 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-327
Machine Learning and Statistical Inference: Building Breiman's Bridge — Invited Papers
Section on Statistical Learning and Data Science , Section on Nonparametric Statistics , Section on Statistical Computing
Organizer(s): Lucas K Mentch, University of Pittsburgh
Chair(s): Giles J Hooker, Cornell University
4:05 PM Walk on Random Forests — Erwan Scornet, Ecole Polytechnique ; Gérard Biau, University Paris 6 ; Jean-Philippe Vert, Mines Institut Curie
4:30 PM Central Limit Theorems and Hypothesis Tests for Random Forests — Lucas K Mentch, University of Pittsburgh ; Giles J Hooker, Cornell University
4:55 PM Detecting Local Sparsity and High-Order Interactions with Iterative Random Forests — Sumanta Basu, Cornell University ; James Bentley Brown, Lawrence Berkeley National Laboratory ; Bin Yu, University of California, Berkeley
5:20 PM Urban Analytics Using Tree Models — Shane Jensen, The Wharton School, University of Pennsylvania
5:45 PM Floor Discussion
 
 

57 * ! 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-337
Some Recent Developments and Applications of the Empirical Likelihood Method — Topic Contributed Papers
International Chinese Statistical Association , SSC , Section on Nonparametric Statistics
Organizer(s): Peisong Han, University of Waterloo
Chair(s): Peisong Han, University of Waterloo
4:05 PM Empirical Likelihood in Biased Sampling Problems — Jing Qin, National Institute of Allergy and Infectious Diseases
4:25 PM A New Scope of Penalized Empirical Likelihood with High-Dimensional Estimating Equations — Chengyong Tang, Temple University ; Jinyuan Chang, Southwestern University of Finance and Economics ; Tong Tong Wu, University of Rochester
4:45 PM Proportional Likelihood Ratio Models for Competing Risks — Chiung-Yu Huang, Johns Hopkins University ; Tony Sit, Chinese University of Hong Kong ; Gongjun Xu, University of Michigan
5:05 PM Multiply Robust Estimation for Causal Treatment Effect and Average Treatment Effect Among Treated When Treatment Heterogeneity Exists — Lu Wang, University of Michigan ; Peisong Han, University of Waterloo ; Daniel Almirall, University of Michigan
5:25 PM Monitoring Test for One-Sided Multiple Quality Indices — Guangyu Zhu, University of British Columbia ; JIahua Chen, University of British Columbia
5:45 PM Floor Discussion
 
 

73 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-330
Nonparametric Statistics in High-Dimensional Settings — Contributed Papers
Section on Nonparametric Statistics , Section on Statistical Learning and Data Science
Chair(s): Zsolt Talata, University of Kansas
4:05 PM Nonparametric non-convex penalized regression spline and application in ECG recording — Yao Chen, Purdue University ; Xiao Wang, Purdue University ; Mohammad Adibuzzaman, Purdue University ; Yonghan Jung, Purdue University
4:20 PM Ultra-high-dimensional Additive Partially Linear Models — Xinyi Li, Iowa State University ; Li Wang, Iowa State University ; Dan Nettleton, Iowa State University
4:35 PM Additive Partially Linear Models for Massive Heterogeneous Data — Binhuan Wang, New York University School of Medicine ; Yixin Fang, New Jersey Institute of Technology ; Heng Lian, City University of Hong Kong ; Hua Liang , George Washington University
4:50 PM Finding needles in a haystack? Covariate Information for Feature Screening in Ultrahigh-Dimensional Data — Debmalya Nandy, Penn State University ; Francesca Chiaromonte, Penn State University ; Runze Li, The Pennsylvania State University
5:05 PM Sparse Covariance Estimation via Concentration Inequalities — Adam Kashlak, Univ of Cambridge ; Linglong Kong, University of Alberta
5:20 PM Finite Sample Breakdown Point for Sliced Inverse Regression — Ulrike Genschel, Iowa State University
5:35 PM Multi-Resolution Functional ANOVA for Large-Scale, Many-Input Nonlinear Regression, Estimation, and Inference — Chih-Li Sung, Georgia Institute of Technology ; Wenjia Wang, Georgia Institute of Technology ; Matthew Plumlee, University of Michigan ; Benjamin Haaland, Georgia Institute of Technology
 
 

91 ! 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-340
Statistical Methods for Analysis of Time-Varying Network Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistical Computing
Organizer(s): Marianna Pensky, University of Central Florida
Chair(s): Aurore Delaigle, University of Melbourne
8:35 AM Summaries of Networks in Time — Sofia Olhede, UCL
9:00 AM Oracle Inequalities for the Dynamic Stochastic Block Model and Time-Dependent Graphon — Marianna Pensky, University of Central Florida
9:25 AM Nonparametrics, Network Information and Efficient Estimation — Patrick Wolfe, University College London
9:50 AM The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks — Kevin Shuai Xu, University of Toledo ; Ruthwik Junuthula, University of Toledo ; Haghdan Maysam, University of Toledo ; Devabhaktuni Vijay, University of Toledo
10:15 AM Floor Discussion
 
 

98 ! 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-336
Statistical Learning for Dependent Data — Invited Papers
Business and Economic Statistics Section , Section on Statistical Learning and Data Science , Section on Nonparametric Statistics
Organizer(s): Xianyang Zhang, Texas A&M University
Chair(s): Mohsen Pourahmadi, Texas A&M University
8:35 AM Group Orthogonal Greedy Algorithm for Change-Point Estimation of Multivariate Time Series — Chun Yip Yau, Chinese University of Hong Kong
9:00 AM Autoregressive Model for Matrix Valued Time Series — Rong Chen, Rutgers University ; Dan Yang, Rutgers University ; Han Xiao, Rutgers University
9:25 AM Estimation of Sparse Vector Autoregressive Moving Averages — David S Matteson, Cornell University ; Ines Wilms, KU Leuven ; Jacob Bien, Cornell University
9:50 AM Time Series Model Fitting and Regularization Methods — Soumendra N Lahiri, North Carolina State University
10:15 AM Floor Discussion
 
 

101 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-310
Foundation for Big Data Analysis — Invited Papers
IMS , Section on Statistical Learning and Data Science , Section on Nonparametric Statistics , Section for Statistical Programmers and Analysts
Organizer(s): Jianqing Fan, Princeton University
Chair(s): Jianqing Fan, Princeton University
8:35 AM Inference for Large Networks — Peter Bickel, UC Berkeley ; purna sarkar, u. of texas ; Soumendu Mukherjee, UC Berkeley
9:00 AM Inference for Big Data — Larry Wasserman, Carnegie Mellon
9:25 AM Eigenvalues and Variance Components — Iain M Johnstone, Stanford Universty
9:50 AM Error Variance Estimation in Ultra-High Dimensional Regression Models — Runze Li, The Pennsylvania State University ; Zhao Chen, The Pennsylvania State University ; Jianqing Fan, Princeton University
10:15 AM Floor Discussion
 
 

129 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-339
Quantile and Nonparametric Regression Models — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Matthew Reimherr, Penn State
8:35 AM Conditional Quantiles Under Parametric Model Misspecification: Predicting Individualized Ranges of A1C Change — Sergey Tarima, Medical College of Wisconsin ; Bonifride Tuyishimire, Medical College of Wisconsin ; Rodney Sparapani, Medical College of Wisconsin ; Lisa Rein, Medical College of Wisconsin ; John Meurer, Medical College of Wisconsin
8:50 AM Quantile Function Modeling with Application to Salinity Tolerance Analysis in Plant Growth Data — Gaurav Agarwal ; Ying Sun, King Abdullah University of Science and Technology
9:05 AM A Multiple Imputation Method Based on Bayesian Quantile Regression Model for Handling Intermittent Missing Data — MinJae Lee, The University of Texas Health Science Center at Houston ; Mohammad Rahbar, University of Texas Health Science Center at Houston ; John Reveille, The University of Texas Health Science Center at Houston ; Michael Weisman , Cedars-Sinai Medical Center ; Michael Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)/NIH ; Lianne Gensler, University of California, San Francisco ; Matthew Brown, Queensland University of Technology
9:20 AM Shape Testing in Quantile Varying Coefficient Models with Heteroscedastic Error — Mohammed Abdulkerim Ibrahim, Censtat, I-BioStat, Universiteit Hasselt ; Irène Gijbels, Department of Mathematics and Leuven Statistics Research Center (LStat), KU Leuven ; Anneleen Verhasselt, Censtat, I-BioStat, Universiteit Hasselt
9:35 AM Learning Non-Parametric Binary Regression Using Flixible Power Link Function with GP Priors — Abhishek Bishoyi, University of Connecticut ; Xiaojing Wang, University of Connecticut ; Dipak K Dey, university of connecticut
9:50 AM Adaptive Estimation for Varying Coefficient Models — Yixin Chen, Sanofi ; Qin Wang, Virginia Commonwealth University ; Weixin Yao, Department of Statistics, University of California, Riverside
10:05 AM Partial Rank Regression Models with Penalized Warped Wavelets — Eddy Kwessi, Trinity University
 
 

Register CE_16C 		Mon, 7/31/2017, 8:30 AM - 5:00 PM H-Key Ballroom 12
A Tutorial on Quantile Regression and Its Applications (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Nonparametric Statistics
Instructor(s): Lan Wang, University of Minnesota, Ruosha Li, University of Texas Health Science Center at Houston
8:30 AM A Tutorial on Quantile Regression and Its Applications (ADDED FEE) — Lan Wang, University of Minnesota ; Ruosha Li, University of Texas Health Science Center at Houston
 
 

161 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-325
SPEED: Nonparametrics and Imaging — Contributed Speed
Section on Nonparametric Statistics , Section on Statistics in Imaging , SSC , IMS
Chair(s): Suzanne Thornton, Rutgers University
10:40 AM Automatic Shape-Constrained Nonparametric Regression — Zhikun Gao, George Washington University ; Huixia Judy Wang, The George Washington University ; Yanlin Tang, School of Mathematical Sciences, Tongji University
10:45 AM Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events — Todd Wilson, North Carolina State University ; Sujit K Ghosh, North Carolina State University
10:50 AM Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response — Qianqian Wang, University of South Carolina ; Yanyuan Ma, Penn State University ; Guangren Yang, Jinan University ; Xia Cui, Zhongshan University
11:00 AM Estimation of Locally Stationary Spatial Processes with Applications to the American Community Survey — Daniel Weinberg, U.S. Census Bureau ; Tucker McElroy, U. S. Census Bureau ; Soumendra N Lahiri, North Carolina State University
11:05 AM A Comparison of Testing Methods in Scalar-On-Function Regression — Merve Tekbudak, North Carolina State University ; Marcela Alfaro Córdoba, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Arnab Maity, North Carolina State University
11:10 AM Weighted Quantile Regression Splines using Total Variation Regularization — Jae-Hwan Jhong, Korea University ; Ja-Yong Koo, Korea University
11:20 AM Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics — Xiao Li, University of Texas, School of Public Health, Department of Biostatistics ; Michele Guindani, University of California, Irvine ; Chaan Ng, The University of Texas MD Anderson C ; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:30 AM Efficient Multivariate Entropy Estimation Via k-Nearest Neighbour Distances — Thomas Berrett, University of Cambridge
11:35 AM Inference in a Hidden Markov Model with Log-Concave Emission Densities — Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:40 AM Enhancing Power of Case-Control Studies by Using Prevalent Cases — Marlena Maziarz, National Cancer Institute ; Jing Qin, National Institute of Allergy and Infectious Diseases ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
11:45 AM Testing the Adequacy of Linear Mixed Effects Models — Stephanie Chen, North Carolina State University ; Luo Xiao, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics
11:50 AM Floor Discussion
 
 

170 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-347
Nonparametric Methods for Longitudinal and Survival Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Xuerong Meggie Wen
10:35 AM A Comparison of Some Bootstrap Methods for Mixed Model Analysis of Non-Normal Longitudinal Data — Mark Reiser, Arizona State University
10:50 AM Nonparametric Covariance Estimation for Longitudinal Data via Tensor Product Smoothing — Tayler Blake, Information Control Company ; Yoonkyung Lee, The Ohio State University
11:05 AM Trajectory Analysis for Postoperative Pain Using Electronic Health Records- a Non-Parametric Method with Robust Linear Regression and K-Medians Cluster Analysis — Yingjie Weng, Stanford University School of Medicine ; Lu Tian, Stanford University ; Karishma Desai, Department of Surgery, Stanford University School of Medicine ; Dario Tedesco, Department of Surgery, Stanford University School of Medicine ; Wen-wai Yim, Department of Surgery, Stanford University School of Medicine ; Steven Asch, Center for Innovation to Implementation, VA Palo Alto Health Care System ; Ian Carroll, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University ; Catherine Curtin, Department of Surgery, Stanford University School of Medicine ; Kathryn McDonald, Center for Health Policy, Primary Care and Outcomes Research, Stanford University ; Tina Hernandez-Boussard, Departments of Medicine, Biomedical Data Science, and Surgery, Stanford University
11:20 AM Boosted Multivariate Trees for Longitudinal Data — Amol Pande ; Liang Li, University of Texas MD Anderson Cancer Center ; Jeevanantham Rajeswaran , Cleveland Clinic Foundation ; John Ehrlinger, Cleveland Clinic Foundation ; Udaya Kogalur, Cleveland Clinic Foundation ; Eugene Blackstone , Cleveland Clinic Foundation ; Hemant Ishwaran, University of Miami
11:35 AM Soft-Thresholding Operator for Modeling Sparse Time Varying Effects in Survival Analysis — Yuan Yang, University of Michigan ; Jian Kang, University of Michigan ; Yi Li, University of Michigan
11:50 AM Nonparametric Group Sequential Methods for Combined Endpoints of 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
12:05 PM Nonparametric Estimation of Median Survival Times with Applications to Multisite or Multicenter Studies — Mohammad Rahbar, University of Texas Health Science Center at Houston ; Sangbum Choi, Korea University ; Chuan Hong, Havard University T. Chan School of Public Health ; Liang Zhu, University of Texas Health Science Center at Houston ; Sangchoon Jeon , Yale University ; Joseph C. Gardiner , Michigan State University
 
 

220 * ! 		Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-306
Robust Multivariate and High-Dimensional Analysis Using Functional Data Ranking — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Ying Sun, King Abdullah University of Science and Technology
Chair(s): Tianbo Chen, King Abdullah University of Science & Technology
2:05 PM Robust Nonparametric Methods for Sparse and Complex Functional Data — Sara Lopez-Pintado, Columbia University
2:25 PM Directional Outlyingness for Multivariate Functional Data — Wenlin Dai, KAUST ; Marc G. Genton, KAUST
2:45 PM Total Variation Depth for Functional Data — Ying Sun, King Abdullah University of Science and Technology ; Huang Huang, King Abdullah University of Science and Technology (KAUST)
3:05 PM Geometry-Based Visualization of Functional Data — Karthik Bharath, University of Nottingham ; Weiyi Xie, Ohio State University ; Sebastian Kurtek, The Ohio State University ; Ying Sun, King Abdullah University of Science and Technology
3:25 PM High-Dimensional Functional Data — Juan Romo, Universidad Carlos III de Madrid ; Ana Arribas-Gil, Universidad Carlos III de Madrid
3:45 PM Floor Discussion
 
 

252 		Mon, 7/31/2017, 3:05 PM - 3:50 PM CC-Halls A&B
SPEED: Nonparametrics and Imaging — Contributed Poster Presentations
Section on Nonparametric Statistics , Section on Statistics in Imaging , SSC , IMS
Chair(s): Jessi Cisewski, Yale University
2: Automatic Shape-Constrained Nonparametric Regression — Zhikun Gao, George Washington University ; Huixia Judy Wang, The George Washington University ; Yanlin Tang, School of Mathematical Sciences, Tongji University
3: Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events — Todd Wilson, North Carolina State University ; Sujit K Ghosh, North Carolina State University
4: Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response — Qianqian Wang, University of South Carolina ; Yanyuan Ma, Penn State University ; Guangren Yang, Jinan University ; Xia Cui, Zhongshan University
6: Estimation of Locally Stationary Spatial Processes with Application to the American Community Survey — Daniel Weinberg, U.S. Census Bureau ; Tucker McElroy, U. S. Census Bureau ; Soumendra N Lahiri, North Carolina State University
7: A Comparison of Testing Methods in Scalar-On-Function Regression — Merve Tekbudak, North Carolina State University ; Marcela Alfaro Córdoba, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Arnab Maity, North Carolina State University
8: Weighted Quantile Regression Splines using Total Variation Regularization — Jae-Hwan Jhong, Korea University ; Ja-Yong Koo, Korea University
10: Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics — Xiao Li, University of Texas, School of Public Health, Department of Biostatistics ; Michele Guindani, University of California, Irvine ; Chaan Ng, The University of Texas MD Anderson C ; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11: Efficient Multivariate Entropy Estimation Via k-Nearest Neighbour Distances — Thomas Berrett, University of Cambridge
12: Inference in a Hidden Markov Model with Log-Concave Emission Densities — Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
13: Enhancing Power of Case-Control Studies by Using Prevalent Cases — Marlena Maziarz, National Cancer Institute ; Jing Qin, National Institute of Allergy and Infectious Diseases ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
14: Testing the Adequacy of Linear Mixed Effects Models — Stephanie Chen, North Carolina State University ; Luo Xiao, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics
The Speed portion will take place during Session 214529
 
 

265 		Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-309
New Directions in Statistical Network Analysis — Invited Papers
Section on Statistical Learning and Data Science , IMS , Section on Nonparametric Statistics
Organizer(s): Liza Levina, University of Michigan
Chair(s): Liza Levina, University of Michigan
8:35 AM Structured Shrinkage for Network Regression — Peter Hoff, Duke University
9:00 AM Prediction Models for Network-Linked Data — Ji Zhu, University of Michigan
9:25 AM Network modelling of topological domains using Hi-C data — Rachel Wang ; Purnamrita Sarkar, University of Texas, Austin ; Oana Ursu, Stanford University ; Anshul Kundaje, Stanford University ; Peter Bickel, University of California, Berkeley
9:50 AM Discussant: Edoardo M. Airoldi, Harvard University
10:15 AM Floor Discussion
 
 

279 * ! 		Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-348
Nonparametric Tests and Estimations for Clustered Data: It Is Essential for Non-Normal Data — Topic Contributed Papers
International Chinese Statistical Association , Section on Nonparametric Statistics , Section on Statistics in Epidemiology
Organizer(s): Mei-Ling Ting Lee, University of Maryland
Chair(s): Yujing Jiang, University of Connecticut
8:35 AM Estimation of Rank Correlation for Clustered Data — Bernard Rosner, Harvard Medical School ; Robert Glynn, Harvard Medical School
8:55 AM Wilcoxon Rank-Based Tests for Clustered Data with R Package Clusrank — Jun Yan, University of Connecticut ; Yujing Jiang, University of Connecticut ; Mei-Ling Ting Lee, University of Maryland ; Xin He, University of Maryland, College Park ; Bernard Rosner, Harvard Medical School
9:15 AM Covariate-Adjusted Aligned Rank-Sum Test for Clustered Data with Informative Intra-Cluster Group Size — Somnath Datta, University of Florida ; Sandipan Dutta, Duke University
9:35 AM Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data — Joanna Shih, National Cancer Institute ; Michael Fay, National Institute of Allergy and Infectious Diseases
9:55 AM Incorporate Clustering Effects for the Wilcoxon Rank Sum Test: The Cluswilcox Command — Xin He, University of Maryland, College Park ; Jing Zhang, University of Maryland, College Park ; Mei-Ling Ting Lee, University of Maryland ; Bernard Rosner, Harvard Medical School
10:15 AM Floor Discussion
 
 

297 		Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-346
Advances in Nonparametric Testing — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Nitis Mukhopadhyay, University of Connecticut
8:35 AM Multi-Aspect Nonparametric Testing and Ranking on Mixed Distributions with Application to Image Analysis in Neuroanatomy — Livio Corain, University of Padova ; Antonella Peruffo, University of Padova ; Luigi Salmaso, University of Padova ; Enrico Grisan, University of Padova ; Jean-Marie Graïc, University of Padova
8:50 AM Permutation Confidence Region for Regression Slopes and a Diagnostic Tool for the Central Limit Theorem — Qiang Wu, East Carolina University ; Paul Vos, East Carolina University
9:05 AM Stratified Permutation Tests for Dependent Data — Luigi Salmaso, University of Padova ; Rosa Arboretti, University of Padova ; Eleonora Carrozzo, University of Padova
9:20 AM On the Likelihood Ratio Test for Gaussian Mixtures Based on the Nonparametric Maximum Likelihood Estimator — Wenhua Jiang, Fudan University ; Cun-Hui Zhang, Rutgers University
9:35 AM Distance Metrics for Measuring Joint Dependence with Application to Causal Discovery — Shubhadeep Chakraborty, Texas A & M University ; Xianyang Zhang, Texas A&M University
9:50 AM Independent Validation: New Method to Measure Classification Accuracy for Model-Free Group Comparison — Bommae Kim, Federal Reserve Bank of Kansas City ; Timo von Oertzen, University of the Federal Defense Forces
10:05 AM Testing the Conditional Mean Independence for Functional Data — Chung Eun Lee, University of Illinois-Urbana Champaign ; Xianyang Zhang, Texas A&M University ; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
 
 

310 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-336
Advances and Novel Problems in Flexible Analysis of Clustered Data with Complex Structures — Invited Papers
Section on Nonparametric Statistics , Korean International Statistical Society , IMS
Organizer(s): Lan Wang, University of Minnesota
Chair(s): Lan Wang, University of Minnesota
10:35 AM Flexible parametric approach to classical measurement error variance estimation without auxiliary data — Ingrid Van Keilegom, ORSTAT, KU LEUVEN
11:00 AM Flexible Bayesian Additive Joint Models — Meike Köhler, Helmholtz Zentrum München ; Nikolaus Umlauf, Universität Innsbruck ; Sonja Greven, Ludwig-Maximilians-Universität München
11:25 AM Analysis of Clustered Complex Design Data: Propensity Score Matching — Mi-Ok Kim, UCSF
11:50 AM A Simple and Adaptive Two-Sample Test in High Dimensions — Jin-Ting Zhang, National University of Singapore ; Jin Guo, National University of Singapore ; Bu Zhou, National University of Singapore ; Ming-Yen Cheng, National Taiwan University
12:15 PM Floor Discussion
 
 

330 * ! 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-337
Advances in Inference of Networks — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Sharmodeep Bhattacharyya, Oregon State University
Chair(s): Daniel L Sussman, Boston University
10:35 AM Empirical Assessment of Programs to Promote Collaboration: a Network Model Approach — Katherine McLaughlin, Oregon State University ; Joshua D. Embree, RAND Corporation
10:55 AM Spectral Clustering for Dynamic Block Models — Sharmodeep Bhattacharyya, Oregon State University ; Shirshendu Chatterjee, City University of New York
11:15 AM Limit Theorems for Eigenvectors of the Normalized Laplacian for Random Graphs — Minh Tang, Johns Hopkins University ; Carey E Priebe, Johns Hopkins University
11:35 AM Testing Social Structure with Subgraph Counts — Chao Gao, University of Chicago
11:55 AM Estimating a Network from Multiple Noisy Realizations — Can Le, University of California Davis ; Liza Levina, University of Michigan
12:15 PM Floor Discussion
 
 

353 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-Halls A&B
Contributed Poster Presentations: Section on Nonparametric Statistics — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Jessi Cisewski, Yale University
20: Pruning for Nonparametric Change Point Analysis — Wenyu Zhang, Cornell University ; David S Matteson, Cornell University ; Nicholas James, Cornell University
21: Local Signal Detection on Irregular Domains via Bivariate Splines — Miao Yang ; Lan Xue, Oregon State University ; Lijian Yang, Tsinghua University
22: Conditional Quantiles Under Parametric Model Misspecification: a Simulation Study — Bonifride Tuyishimire, Medical College of Wisconsin ; Sergey Tarima, Medical College of Wisconsin ; Rodney Sparapani, Medical College of Wisconsin ; Lisa Rein, Medical College of Wisconsin ; John Meurer, Medical College of Wisconsin
23: Semiparametric Regression with a Mixture Model with Both Known and Unknown Components — Weibin Zhong, Georgetown University Medical Center ; Ao Yuan, Georgetown University ; Kepher H Makambi, Georgetown University
24: Adjustment of Multi-Sample U-Statistics to Right Censored Data with Confounding Covariates — YICHEN CHEN, DEPARTMENT OF BIOSTATISTICS, UNIVERSITY OF FLORIDA ; Somnath Datta, University of Florida
25: A New Nonparametric Estimation Method for multi-fractional Gaussian proces and Its Minimax Properties — Jinqi Shen, University of Michigan ; Tailen Hsing, University of Michigan
26: Rank Regression in Order Restricted Randomized Designs — Jinguo Gao, Google Inc. ; Omer Ozturk, Ohio State University
27: Nonparametric Prediction and the Exoplanet Mass-Radius Relationship — Bo Ning, North Carolina State University
 
 

405 		Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-324
Nonparametric Testing in Complex Data Settings — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Piotr Fryzlewicz, London School of Economics
2:05 PM Novel Multivariate Change Detection and Localization Using Degree-K Nearest Neighbors — Matthew Hawks, US Naval Academy ; Robert A Koyak, Naval Postgraduate School
2:20 PM Undocumented Changepoint Detection by Nonparametric Procedure in a Two-Phase Linear Regression Model — Jing Sun, Augusta University ; Sunil Mathur, Augusta University ; Deepak Sakate, Shivaji University
2:35 PM Bivariate Association in Respondent-Driven Sampling Data — Dongah Kim, University of Massachusetts, Amherst ; Krista Gile, University of Massachusetts ; Honoria Guarino , National Development and Research Institutes, Inc. ; Pedro Mateu Gelabert, National Development and Research Institutes, Inc.
2:50 PM Enhancements to Graph-Theoretic Approaches to the Multivariate Two-Sample Problem — David Ruth, US Navy ; Samuel Buttrey, Naval Postgraduate School
3:05 PM R-Estimation of Covariate Effects and Aligned Rank-Sum Tests for a Group Effect in Clustered Data — Sandipan Dutta, Duke University ; Somnath Datta, University of Florida
3:20 PM Stepwise Procedures Based on Rank Statistics in Detecting Differentially Expressed Gene — Hossein Mansouri, Texas Tech University ; Bo Li, Montana Tech of the University of Montana
3:35 PM Two Sample Order Free Trend Inference — Yishi Wang, University of North Carolina Wilmington ; Cuixian Chen, University of North Carolina, Wilmington
 
 

214628 		Tue, 8/1/2017, 5:30 PM - 7:00 PM H-Key Ballroom 6
Section on Nonparametric Statistics Business Meeting — Other Cmte/Business
Section on Nonparametric Statistics
Chair(s): Xuming He, University of Michigan
 
 

474 		Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-348
Nonparametric Density and Variance Estimation — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Damian Brzyski, Indiana University
8:35 AM Density Deconvolution Using the Phase Function with Unknown and Heterogeneous Measurement Errors — Linh Hoang Nghiem, Southern Methodist University ; Cornelis Potgieter, Southern Methodist University
8:50 AM Orthogonal Series Density Estimation for Complex Surveys — Shangyuan Ye, Oklahoma State University ; Ye Liang, Oklahoma State University ; Ahmad A. Ibrahim, Oklahoma State University
9:05 AM Mellin-Meijer-Kernel Density Estimation on R+ — Gery Geenens, UNSW
9:20 AM A Geometric Framework for Density Modeling — Sutanoy Dasgupta, Florida State University
9:35 AM Nonparametric Confidence Regions for Density Level Sets — Wanli Qiao, George Mason University ; Wolfgang Polonik, University of California, Davis
9:50 AM Nonparametric Estimation of a Variance Function with Shape Restrictions — Soo Young Kim, Colorado State University ; Haonan Wang, Colorado State University ; Mary Meyer, Colorado State University
10:05 AM Rank Based Estimation for Double Generalized Linear Model — Brice Merlin Nguelifack, United States Naval Academy ; Guy-vanie M. Miakonkana, African School of Economics ; Eddy Kwessi, Trinity University
 
 

479 * ! 		Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-338
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistics in Imaging , ENAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
10:35 AM JIVE Integration of Behavioral and fMRI Data — J. S. (Steve) Marron, University of North Carolina ; Benjamin Risk, SAMSI, Department of Biostatistics and Bioinformatics, Emory University ; Qunqun Yu, UNC - Statistics & OR
11:00 AM Exploratory and Data Visualization Methods for High-Dimensional Brain Signals — Hernando Ombao, KAUST and UC Irvine ; Yuxiao Wang, University of California, Irvine ; Chee-Ming Ting, KAUST
11:25 AM Am I My Connectome? Fingerprinting with Repeated Resting State Functional MRI Data — Brian Scott Caffo, Johns Hopkins ; Zeyi Wang, Johns Hopkins ; Ciprian M Crainiceanu, Johns Hopkins University ; Martin Lindquist, Johns Hopkins University ; Jim Pekar, Johns Hopkins ; Joshua Vogelstein, Johns Hopkins ; Haris Sair, Johns Hopkins
11:50 AM Statistical Analysis of Registration and Registered Imaging Data — John AD Aston, University of Cambridge ; Eardi Lila, University of Cambridge
12:15 PM Floor Discussion
 
 

499 * ! 		Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-337
Nonparametric Multiple Comparison in High Dimensions with Model Uncertainity — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Solomon Harrar, University of Kentucky
Chair(s): Solomon Harrar, University of Kentucky
10:35 AM Nonparametric Multiple Comparisons with Effect Size Considerations — Kimihiro Noguchi, Western Washington University ; Riley Abel, Western Washington University
10:55 AM Simultaneous Confidence Intervals from Stochastic Approximation — Rongji Mu, East China Normal University ; Cui Xiong, East China Normal University ; Jin Xu, East China Normal University
11:15 AM Simultaneous Confidence Intervals for Post Model Selection Inference — Xin Gao, York University
11:35 AM Multiple Contrast Tests and Simultaneous Confidence Intervals in High-Dimensional Repeated Measures Designs — Frank Konietschke, University of Texas at Dallas
11:55 AM Floor Discussion
 
 

582 		Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-323
Statistical Methods for Functional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Jeff Goldsmith, Columbia University
2:05 PM Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data — Xiongtao Dai, University of California, Davis ; Hans-Georg G Müller, University of California, Davis ; Wenwen Tao, Quora
2:20 PM Wasserstein Covariance for the Functional Data Analysis of Multivariate Densities — Alexander Petersen, University of California, Santa Barbara ; Hans-Georg G Müller, University of California, Davis
2:35 PM Optimal Design for Classification of Functional Data — Cai Li, North Carolina State University ; Luo Xiao, North Carolina State University
2:50 PM Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes — Yuhang Xu, University of Nebraska-Lincoln ; Yehua Li, Iowa State University ; Dan Nettleton, Iowa State University
3:05 PM Nonparametric Inference on a Monotone Covariate-Adjusted Dose-Response Curve — Ted Westling, University of Washington ; Marco Carone, University of Washington Department of Biostatistics ; Mark J van der Laan, University of California at Berkeley Division of Biostatistics
3:20 PM Nonlinear Function-On-Function Regression Estimation Using Reproducing Kernel Hilbert Spaces Method — Bahaeddine Taoufik, Fordham University
3:35 PM Estimation of the Likelihood for Context Set Models — Zsolt Talata, University of Kansas
 
 

591 		Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-309
On Shape-Constrained Estimation and Inference — Invited Papers
IMS , Section on Nonparametric Statistics
Organizer(s): Bodhisattva Sen, Columbia University
Chair(s): Adityanand Guntuboyina, UC Berkeley
8:35 AM Estimation of a Convex Density Support Using Contaminated Data — Victor-Emmanuel Brunel, MIT
9:05 AM Efficient Estimation in Convex Single Index Models — Rohit Patra, University of Florida
9:35 AM Isotonic Regression in general dimensions — Sabyasachi Chatterjee, University of Chicago
10:05 AM Discussant: Bodhisattva Sen, Columbia University
 
 

595 * ! 		Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-348
Dynamic Methods for Functional Data with Application to Clinical Data Analysis — Invited Papers
ENAR , Biometrics Section , Section on Nonparametric Statistics
Organizer(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
Chair(s): Ciprian M Crainiceanu, Johns Hopkins University
8:35 AM Dynamic Prediction Intervals for Functional Data — Nicholas Rios, Montclair State University ; Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
8:55 AM Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model — Sheng Luo, The University of Texas Health Science Center at Houston ; Kan Li, The University of Texas Health Science Center at Houston
9:15 AM Identification of Outliers in Dynamic Functional Regression for Child Growth Studies — Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences ; Ciprian M Crainiceanu, Johns Hopkins University ; William Checkley, Johns Hopkins University
9:35 AM Dynamic Prediction with Joint Models and Landmarking — Jonathan Gellar, Mathematica Policy Research
9:55 AM A Joint Optimal Design for Functional Data with Application to Scheduling Ultrasound Scans — Luo Xiao, North Carolina State University
10:15 AM Floor Discussion
 
 

617 * ! 		Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-312
Recent Developments on Order-Related Designs and Inferences — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Bingchen Liu, Educational Testing Service
Chair(s): Lynne Stokes, Southern Methodist University
8:35 AM Ranked Set Sampling Estimators of Discrete Distribution Parameters — Bingchen Liu, Educational Testing Service ; Lynne Stokes, Southern Methodist University
8:55 AM Finding the Maximum Efficiency for Multistage Ranked-Set Sampling — Jesse Frey, Villanova University ; Timothy Feeman, Villanova University
9:15 AM Using Ranked Set Sampling with Binary Outcomes in Cluster Randomized Designs — Mumu Wang, Southern Methodist University ; Xinlei Wang, Southern Methodist University ; Johan Lim, Seoul National University
9:35 AM Statistical Inference Based on Expanded Simple Random Sample Using Population Ranks — Omer Ozturk, Ohio State University
9:55 AM Quantile Regression with Nominated Samples: An Application to a BMD Cohort Study — Mohammad Jafari Jozani, University of Manitoba ; Ayilara Olawale Fatai, University of Manitoba
10:15 AM Floor Discussion
 
 

631 		Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-308
Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics — Invited Papers
Section on Nonparametric Statistics , IMS , International Chinese Statistical Association
Organizer(s): Xiaofeng Shao, University of Illinois, At Urbana-Champaign
Chair(s): Xiaofeng Shao, University of Illinois, At Urbana-Champaign
10:35 AM Applications of Distance Correlation to Time Series — Richard A. Davis, Columbia University ; Muneya Matsui, Nanzan University ; Thomas Mikosch, University of Copenhagen ; Phyllis Wan, Columbia University
11:00 AM Why Classical Measures of Dependence Do Not Satisfy Their Natural Axioms? — Gabor J Szekely, National Science Foundation
11:25 AM Conditional Mean and Quantile Dependence Testing in High Dimension — Xianyang Zhang, Texas A&M University ; Shun Yao, University of Illinois at Urbana-Champaign ; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
11:50 AM A New Class of Measures for Testing Independence — Xiangrong Yin, University of Kentucky ; Qingcong Yuan, University of Kentucky
12:15 PM Floor Discussion
 
 

637 * ! 		Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-303
Non-Standard Regression Models — Invited Papers
IMS , Section on Nonparametric Statistics
Organizer(s): Piet Groeneboom, Delft University of Technology
Chair(s): Piet Groeneboom, Delft University of Technology
10:35 AM On Estimation of Regression Parameters with Current Status Data — Kim Hendrickx, Hasselt University ; Piet Groeneboom, Delft University of Technology
10:55 AM Super-Efficiency with the Divide and Conquer Method — Moulinath Banerjee, University of Michigan ; Cecile Durot, University of Paris Ouest ; Bodhisattva Sen, Columbia University
11:15 AM Least Squares Estimation in the Monotone Single Index Model — Fadoua Balabdaoui, Seminar fuer Statistik, ETH
11:35 AM Spatial Adaptivity in Trend Filtering — Bodhisattva Sen, Columbia University
11:55 AM Global error of smooth estimators for a monotone baseline hazard in the Cox model — Rik Lopuhaa, Delft University of Technology ; Eni Musta, Delft University of Technology
12:15 PM Floor Discussion
 
 

640 		Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-328
The State-of-the-Art in Modeling and Testing of High-Dimensional Brain Images and Networks — Invited Papers
Section on Statistics in Imaging , ENAR , Section on Nonparametric Statistics
Organizer(s): Russell Shinohara, University of Pennsylvania
Chair(s): Russell Shinohara, University of Pennsylvania
10:35 AM Network-based inference for neuroimaging data — Liza Levina, University of Michigan
10:55 AM Screening Strategies for Reconstructing Brain Connectivity Networks with Multivariate Hawkes Process — Ali Shojaie, University of Washington ; Shizhe Chen, Columbia University ; Daniela Witten, University of Washington
11:15 AM Powerful, Fast, and Robust Family-Wise Error Control for Neuroimaging — Simon Vandekar, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Adon Rosen, University of Pennsylvania ; Rastko Ciric, University of Pennsylvania ; David Roalf, University of Pennsylvania ; Kosha Ruparel, University of Pennsylvania ; Ruben C Gur, University of Pennsylvania ; Raquel E Gur, University of Pennsylvania ; Russell Shinohara, University of Pennsylvania
11:35 AM Hypothesis Testing of Matrix Graph Model and Application in Brain Connectivity Analysis — Lexin Li, University of California at Berkeley ; Yin Xia, Fudan University
11:55 AM Two Overlooked Statistical Issues in the Study of Neurodevelopmental Trajectories — Philip Reiss, University of Haifa
12:15 PM Floor Discussion
 
 

669 		Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-306
Recent Advances in Nonparametric Statistics — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Frank Konietschke, University of Texas at Dallas
10:35 AM An Optimal Semiparametric Method for Two-Group Classification — Seungchul Baek, University of South Carolina ; Osamu Komori, University of Fukui ; Yanyuan Ma, Penn State University
10:50 AM A Latent Trait Clustering Method for Mixed-Mode Data — Yawei Liang, University of South Carolina ; David Hitchcock, University of South Carolina
11:05 AM Multivariate Nonparametric Tolerance Regions for Determining Reference Regions in Laboratory Medicine — Derek Young, University of Kentucky ; Thomas Mathew, University of Maryland, Baltimore County
11:20 AM A New Nonparametric Estimator of a Location Shift — Su Chen, University of Memphis
11:35 AM What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee? — Yimin Zhang, Villanova University ; Jesse Frey, Villanova University
11:50 AM INFERENCE for a NONPARAMETRIC MODEL WITHOUT NONPARAMETRIC ESTIMATION — Richard Charnigo, University of Kentucky ; Cidambi Srinivasan, University of Kentucky
12:05 PM Floor Discussion
 
 
 
 
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