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 models returned 40 record(s)
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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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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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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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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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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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A General Framework for Bayes Structured Linear Models
Harrison Zhou, Yale University; Chao Gao, Yale University
11:50 AM
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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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Tuesday, 08/02/2016
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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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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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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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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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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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Wednesday, 08/03/2016
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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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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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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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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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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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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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