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 model returned 79 record(s)
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Sunday, 07/31/2016
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Assessing Genomic Risk for Learning Problems with Neuroimaging Data
Heping Zhang, Yale School of Public Health; Chintan Mehta, Yale University
2:05 PM
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Rare Variant Test Based on Next-Generation Sequencing Data with Arbitrary Length
Zheng Xu; Yun Li, The University of North Carolina at Chapel Hill
2:20 PM
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Nonparametric Signal Procession of Space-Time Trajectory Data: Algorithm for Eye Movement Pattern Recognition
Shinjini Nandi, Temple University; Subhadeep Mukhopadhyay, Temple University Fox School of Business
2:45 PM
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Partial Projective Resampling Method for Dimension Reduction: With Applications to Partially Linear Models
Haileab Hilafu, University of Tennessee; Wenbo Wu, University of Oregon
3:05 PM
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A Penalized Likelihood Approach for Heteroscedastic Linear Models
Kwame Kankam, Penn State University; James Rosenberger, Penn State University
3:05 PM
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Bioassay Case Study Applying the Maximin D-Optimal Design Algorithm to the Four-Parameter Logistic Model
Todd Coffey, Washington State University
3:20 PM
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Sobol Sensitivity Indices Under Generalized Linear Models
Rong Lu, The Ohio State University; Grzegorz Rempala, The Ohio State University
3:35 PM
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Comparison of Difference-Based Variance Estimators for Partially Linear Models
Guoyi Zhang, University of New Mexico
4:05 PM
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Standardized Maximim D-Optimal Designs for Enzyme Kinetic Inhibition Models
Ray-Bing Chen, National Cheng Kung University; Ping-Yang Chen, National Cheng Kung University; Heng-Chin Tung, National Cheng Kung University; Weng Kee Wong, University of California at Los Angeles
4:20 PM
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A Bayesian Multivariate Functional Dynamic Linear Model
Daniel Ryan Kowal, Cornell University; David Matteson, Cornell University; David Ruppert, Cornell University
5:05 PM
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A Model-Selection Criterion for Regression Estimators Based on Data Depth
Subhabrata Majumdar, University of Minnesota - Twin Cities; Snigdhansu Chatterjee, University of Minnesota - Twin Cities
5:20 PM
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Monday, 08/01/2016
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Properties of Difference-Based Ridge Estimators in Partial Linear Models
June Luo
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Time Series Models for Ocean Wave Data
Ellis Shaffer, University of Connecticut; Nalini Ravishanker, University of Connecticut; James James O'Donnell, University of Connecticut
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Subgroup Analyses for Count Data Using Bayesian Empirical Meta-Analytical Predictive Priors
Wei-Chen Chen, FDA/CBER; Judy X. Li, FDA; John Scott, FDA
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A STEPP Forward in Tailoring Treatment: New Research on the STEPP Methodology
Wai-Ki Yip, Dana-Farber Cancer Institute
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Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up
Caroline Groth, University of Minnesota; Sudipto Banerjee, University of California at Los Angeles; Gurumurthy Ramachandran, University of Minnesota; Mark R. Stenzel, Exposure Assessment Applications; Dale P. Sandler, National Institute of Environmental Health Sciences; Aaron Blair, National Cancer Institute; Lawrence S. Engel, The University of North Carolina at Chapel Hill; Richard R. Kwok, National Institute of Environmental Health Sciences; Patricia P. Stewart, Stewart Exposure Assessments
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Underestimation of Standard Errors in Regression Analysis for Pollution Exposure Assessment Using Multi-Source Data
Tomoshige Nakamura, Keio University; Mihoko Minami, Keio University
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Sequential Multiple Testing for Variable Selection in High-Dimensional Linear Model
Xinping Cui, University of California at Riverside; Hailu Chen, University of California at Riverside
8:35 AM
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A Log-Linear Model Approach to Eyewitness Identification Data
Amanda Luby
8:35 AM
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Modeling and Inference for Multivariate Count Time Series
Konstantinos Fokianos, University of Cyprus; Paul Doukhan, University Cergy-Pontoise; Bard Stove, University of Bergen; Dag Tjostheim, University of Bergen
9:00 AM
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Using Auxiliary Marginal Information to Deal with Nonignorable Missing Data
Mauricio Sadinle, Duke University/National Institute of Statistical Sciences; Jerome Reiter, Duke University
9:15 AM
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Generalized Functional Linear Models for Family Sequencing Data
Sneha Jadhav; Hira L. Koul, Michigan State University; Qing Lu, Michigan State University
9:20 AM
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Stochastic Optimization for High-Dimensional Mixed Effect Generalized Linear Models
Jun Guo, University of Michigan; Yves F. Atchade, University of Michigan
9:50 AM
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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
10:05 AM
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A STEPP Forward in Tailoring Treatment: New Research on the STEPP Methodology
Wai-Ki Yip, Dana-Farber Cancer Institute
10:10 AM
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Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up
Caroline Groth, University of Minnesota; Sudipto Banerjee, University of California at Los Angeles; Gurumurthy Ramachandran, University of Minnesota; Mark R. Stenzel, Exposure Assessment Applications; Dale P. Sandler, National Institute of Environmental Health Sciences; Aaron Blair, National Cancer Institute; Lawrence S. Engel, The University of North Carolina at Chapel Hill; Richard R. Kwok, National Institute of Environmental Health Sciences; Patricia P. Stewart, Stewart Exposure Assessments
10:45 AM
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Distributed Estimation and Inference with Statistical Guarantees
Heather Battey, Imperial College London; Jianqing Fan, Princeton; Han Liu, Princeton; Junwei Lu, Princeton; Ziwei Zhu, Princeton
11:00 AM
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A General Framework for Bayes Structured Linear Models
Harrison Zhou, Yale University; Chao Gao, Yale University
11:50 AM
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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
2:05 PM
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A Phase 2a Bayesian Adaptive Dose-Ranging Trial Evaluating Hypertension Therapy
Richann Liu, Pfizer
2:05 PM
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Characterizing Uncertainty in Genetic Association Landscapes by Functional Bayesian Bands
Olga A. Vsevolozhskaya, University of Kentucky; Ilai Keren , Washington Department of Fish and Wildlife; Dmitri Zaykin, National Institute of Environmental Health Sciences
2:20 PM
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Big Data Algorithms for Rank-Based Estimation
John Kapenga, Western Michigan University; John Kloke, University of Wisconsin; Joseph McKean, Western Michigan University
2:35 PM
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Using Computer Experiments and Gaussian Process Emulation to Facilitate Bayesian Optimal Design for Physical Models Derived from Ordinary Differential Equations
David Woods, University of Southampton; Antony Overstall, University of Glasgow; Benjamin Parker, University of Southampton
2:55 PM
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Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis
Weixin Cai, University of California at Berkeley; Lexin Li, University of California at Berkeley
3:05 PM
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Never Fit Sequence: The Design and Analysis of Multi-Period Clinical Trials
Hans Hockey, Biometrics Matters Ltd.
3:35 PM
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Tuesday, 08/02/2016
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An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
Madeline Drevets, Baylor University
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D-Optimal Designs for Multinomial Logistic Models
Xianwei Bu, UIC; Jie Yang, University of Illinois at Chicago
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High-Dimensional Inference for Partial Linear Models
Zhuqing Yu
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Modeling Temperature-Based Financial Derivatives Through Dynamic Linear Models
David Engler, Brigham Young University; Robert Erhardt, Wake Forest University
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Learning Parameter Heterogeneity in Data Integration
Lu Tang, University of Michigan; Peter X. K. Song, University of Michigan
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Control Chart Based on Quasi-Likelihood Estimation for Monitoring Profiles
Chung-I Li
8:50 AM
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From Sports to Real Estate: Real-World Data Facts of Life
John Emerson, Yale University
9:00 AM
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Joint Modeling for Logistic Regression Models with Generalized Method of Moments Estimators
Katherine Cai, Arizona State University; Jeffrey Wilson, Arizona State University
9:20 AM
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D-Optimal Designs for Multinomial Logistic Models
Xianwei Bu, UIC; Jie Yang, University of Illinois at Chicago
9:30 AM
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Biosignatures for Treatment Response: Statistical Methods for Developing Depression Treatment Response Index (DTRI)
Eva Petkova, New York University; Thaddeus Tarpey, Wright State University; Robert Todd Ogden, Columbia University; Adam Ciarleglio, Columbia University; Hyung G. Park, Columbia University
9:35 AM
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Variable Selection in the Concurrent Functional Linear Model
Jeff Goldsmith, Columbia Mailman School of Public Health
10:35 AM
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Learning Parameter Heterogeneity in Data Integration
Lu Tang, University of Michigan; Peter X. K. Song, University of Michigan
10:40 AM
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Robust Ridge Regression Estimators for Nonlinear Models with Applications to High-Throughput Screening Assay Data
Changwon Lim
10:50 AM
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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
11:00 AM
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Lag Selection and Model Validation in Nonparametric Autoregressive Conditional Heteroscedastic Models
Seonjin Kim, Miami University; Adriano Zambom, Loyola University Chicago
11:05 AM
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Modeling Temperature-Based Financial Derivatives Through Dynamic Linear Models
David Engler, Brigham Young University; Robert Erhardt, Wake Forest University
11:15 AM
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Analysis of Variance Components for Genetic Markers with Unphased Genotypes
Tao Wang, Medical College of Wisconsin
11:20 AM
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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
11:20 AM
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High-Dimensional Inference for Partial Linear Models
Zhuqing Yu
11:30 AM
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Bayesian Model Selection in Generalized Linear Model
Guiling Shi
11:35 AM
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Wednesday, 08/03/2016
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Statistical Inference of Covariate-Adjusted Response-Adaptive Randomized Clinical Trials
Wanying Zhao, The George Washington University
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Shrimp Effort Estimation for the Gulf of Mexico Using Second-Order Linear Models (2007--2014)
Morteza Marzjarani, Saginaw
8:35 AM
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Statistical Inference of Covariate-Adjusted Response-Adaptive Randomized Clinical Trials
Wanying Zhao, The George Washington University
8:35 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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Analysis of Asynchronous Longitudinal Data with Partially Linear Model
Li Chen, University of Missouri
9:35 AM
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Service Life Prediction of Field-Exposed Units Based on Laboratory Accelerated Degradation Test Data
William Q. Meeker, Iowa State University
10:35 AM
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Goodness-of-Fit Assessment of Generalized Linear Models with Binary Response When Overdispersion Presents
Jin Xia, GE Global Research; Radu Neagu, GE Global Research
10:50 AM
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Semiparametric Generalized Linear Models for Time-Series Data
Thomas Fung, Macquarie University; Alan Huang, University of Queensland
11:20 AM
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Rank-Based Group Variable Selection
Brice Merlin Nguelifack, U.S. Naval Academy
11:50 AM
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Joint Partially Linear Model for Longitudinal Data with Informative Drop-Outs
Sehee Kim, University of Michigan; Donglin Zeng, The University of North Carolina at Chapel Hill; Jeremy M. G. Taylor, University of Michigan
11:55 AM
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Using Orthogonal Arrays to Obtain Efficient Designs for Certain Generalized Linear Models
John Stufken, Arizona State University
2:05 PM
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Group Feature Selection in Ultrahigh-Dimensional Generalized Varying-Coefficient Linear Models
Songshan Yang; Runze Li, Penn State University
2:05 PM
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Unified Approach for Testing Nonconstant Variance in Linear Model
Jae Keun Yoo, Ewha Womans University
2:05 PM
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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
2:05 PM
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Testing-Based Variable Selection for High-Dimensional Linear Models
Siliang Gong, The University of North Carolina at Chapel Hill; Kai Zhang, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill
2:20 PM
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Supervised Neighborhoods for Distributed Nonparametric Regression
Ameet Talwalkar, University of California at Los Angeles
2:30 PM
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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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Thursday, 08/04/2016
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Online Algorithms for Statistical Learning
Josh Day, North Carolina State University
8:35 AM
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Bayesian Dynamic Linear Models for Strategic Asset Allocation
Jared Fisher, The University of Texas McCombs School of Business; Carlos Carvalho, The University of Texas; Davide Pettenuzzo, Brandeis University
8:50 AM
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Consistent Estimation in Partially Linear Models with Correlated Observations
Liangdong Fan; Cidambi Srinivasan, University of Kentucky; Richard Charnigo, University of Kentucky
10:35 AM
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Analysis of Bivariate Zero-Inflated Count Data with Missing Responses
Miao Yang, Oregon State University; Kalyan Das, Calcutta University; Anandamayee Majumdar, Soochow University
10:50 AM
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Selection-Adjusted Bayesian Inference in the Linear Model
Asaf Weinstein; Jonathan Taylor, Stanford University; Snigdha Panigrahi, Stanford University
11:15 AM
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Bayesian Analysis of Testing General Hypotheses in Linear Models with Spherically Symmetric Errors
Min Wang, Michigan Technological University
11:20 AM
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Semiparametric High-Dimensional Partial Linear Models: Estimation and Inference
Michael Levine, Purdue University; Lawrence D. Brown, University of Pennsylvania; Lie Wang, MIT
11:50 AM
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