Keyword Search
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
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Keyword Search Criteria: linear regression returned 37 record(s)
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Monday, 08/01/2016
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Analysis of Airplane Crash Data
Yana Melnykov, University of Alabama
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A New Resampling Method in Linear Regression Model with Application in Cancer Statistics
Huann-Sheng Chen, National Cancer Institute
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A Nonparametric Procedure for Change Point Detection in Linear Regression
Sunil Mathur, Georgia Regents University; Jing Sun, Augusta University; Deepak Sakate, Augusta University
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Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
Dana Yang, Yale University
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A Nonparametric Procedure for Change Point Detection in Linear Regression
Sunil Mathur, Georgia Regents University; Jing Sun, Augusta University; Deepak Sakate, Augusta University
8:35 AM
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Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
Dana Yang, Yale University
9:35 AM
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Statistical Inference for High-Dimensional Linear Regression
Tony Cai, University of Pennsylvania; Zijian Guo, University of Pennsylvania
10:35 AM
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Optimal Sampling Designs of Two-Compartment Nonlinear Regression Models
Noa Molshatzki, University of Southern California; Sandrah P. Eckel, University of Southern California
11:05 AM
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Scalars-on-Function Linear Regression with Large Number of Functional Predictors
Ruiyan Luo; Xin Qi, Georgia State University
11:35 AM
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Rank-Preserving Regression: A More Robust Rank Regression Model Against Outliers
Tian Chen
11:35 AM
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On Log-Mean Linear Regression Graph Models
Monia Lupparelli; Alessandra Mattei, University of Florence; Alberto Roverato, University of Bologna
2:05 PM
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High-Dimensional Linear Regression via the R2-D2 Shrinkage Prior
Yan Zhang, North Carolina State University; Brian J. Reich, North Carolina State University; Howard Bondell, North Carolina State University
2:35 PM
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Tuesday, 08/02/2016
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Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression
Fuxia Cheng, Illinois State University
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Modeling Variation in Diversity
Michael Anderson, The University of Texas at San Antonio
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Predicting Class Membership Using Imputation Methods for Clinical Variable for Hepatocellular Carcinoma (HCC)
Amrina Ferdous, Washington State University; Nairanjana Dasgupta, Washington State University
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The Knockoff Filter for FDR Control in Group-Sparse and Multitask Regression
Ran Dai, The University of Chicago; Rina Foygel Barber, The University of Chicago
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Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions
Yin Xia, The University of North Carolina at Chapel Hill
8:35 AM
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Accuracy Assessment for High-Dimensional Linear Regression
Tony Cai, University of Pennsylvania; Zijian Guo, University of Pennsylvania
9:05 AM
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Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression
Fuxia Cheng, Illinois State University
9:30 AM
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Constructing Generalized Variance Functions with Linear Regression Trees
Greg Erkens, Bureau of Labor Statistics
9:35 AM
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Predicting Class Membership Using Imputation Methods for Clinical Variable for Hepatocellular Carcinoma (HCC)
Amrina Ferdous, Washington State University; Nairanjana Dasgupta, Washington State University
10:05 AM
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Communication Over a Noisy Channel Using High-Dimensional Linear Regression with Gaussian Design
Cynthia Rush, Yale University; Adam Greig, University of Cambridge; Ramji Venkataramanan, University of Cambridge
10:05 AM
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Modeling Variation in Diversity
Michael Anderson, The University of Texas at San Antonio
11:40 AM
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The Knockoff Filter for FDR Control in Group-Sparse and Multitask Regression
Ran Dai, The University of Chicago; Rina Foygel Barber, The University of Chicago
11:50 AM
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Bilinear Regression with Matrix Covariates in High Dimensions
Dan Yang, Rutgers University; Dong Wang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Haipeng Shen, The University of Hong Kong
2:25 PM
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Wednesday, 08/03/2016
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Inference on Interval-Valued Data Regression by Measurement Error Models
Yaotong Cai, University of Georgia; Lynne Billard, University of Georgia
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Finding the 'Best' Measurement of Body Weight Status Was Difficult with Missing Data
Liyun Zhang, Medical College of Wisconsin; Michele Polfuss, University of Wisconsin - Milwaukee; Kathleen J. Sawin, University of Wisconsin - Milwaukee; Pippa Simpson, Medical College of Wisconsin
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Robust Modeling of EQTL Effect Sizes
John Palowitch; Andrey Shabalin, Virginia Collegiate University; Fred Wright, North Carolina State University; Andrew Nobel, The University of North Carolina at Chapel Hill; Yihui Zhou, North Carolina State University
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Robust Modeling of EQTL Effect Sizes
John Palowitch; Andrey Shabalin, Virginia Collegiate University; Fred Wright, North Carolina State University; Andrew Nobel, The University of North Carolina at Chapel Hill; Yihui Zhou, North Carolina State University
8:50 AM
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Goodness-of-Fit Tests for High-Dimensional Linear Regression
Rajen Dinesh Shah, University of Cambridge; Peter Bühlmann, ETH Zurich
9:25 AM
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Drug Interaction Assessment with Repeated Measurements in Fixed Ray Design
Shouhao Zhou, MD Anderson Cancer Center
9:35 AM
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An approximate L0-based variable selection method for high dimensional data
Zhihua Sun, Ocean University of China; Gang Li, University of California at Los Angeles
10:50 AM
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An Investigation of a Quadratic Design Criterion for Estimation of the Hemodynamic Response Function
Darcie Delzell, Wheaton College
10:50 AM
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Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models: Beyond Gaussian
Samuel Kou, Harvard; Lawrence D. Brown, University of Pennsylvania; Xianchao Xie, Two Sigma Investments
2:30 PM
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Adaptive Bayesian Inference in Nonlinear Regression
Ji-Yeon Yang, Kumoh National Institute
2:50 PM
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