2013 Joint Statistical Meetings - Celebrating the International Year of Statistics

JSM 2013 Online Program

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A * preceding a session name means that the session is an applied session.
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Keyword Search Criteria: Quantile regression returned 26 record(s)

Sunday, 08/04/2013

Novel Statistical Modeling Advances for Obesity Research
Edward H. Ip, Wake Forest University School of Medicine; Kiros Berhane, University of Southern California
4:05 PM

Quantile Regression in Improving the Visualization and Estimation of the Relationship Between Risk Factors and Outcome Measures
Wanying Li; Michael D. Lock, Crescendo Bioscience, Inc.; Douglas Haney, Crescendo Bioscience, Inc.
5:35 PM

Monday, 08/05/2013

Estimating Shelf Life via Mixed-Model Quantile Regression
Michelle Quinlan, Novartis Oncology; Walt W. Stroup, University of Nebraska-Lincoln; Dave Christopher, Merck
9:05 AM

Spatial Quantile Multiple Regression Using the Asymmetric Laplace Process
Kristian Lum, Virginia Tech; Alan E. Gelfand, Duke University
10:35 AM

Regularization on Multivariate Functional-Coefficient Regression Models
Jiancheng Jiang, The University of North Carolina at Charlotte
11:00 AM

Flexible, Nonlinear Probabilistic Downscaling Models: Conditional Density Estimation Networks and Quantile Regression Neural Networks
Alex Cannon, Pacific Climate Impacts Consortium
11:35 AM

A Study of Random Forests Using Robust Aggregation Methods and Splitting Criterion
Marie-Hélène Roy, HEC Montreal; Denis Larocque, HEC Montréal
2:50 PM

Growth Curves, BMI, and Childhood Obesity: An Assessment of Measurement Issues from NYC Public Schools
Stuart Sweeney, Univ of California; Kevin Konty, NYCDOHMH; Sophia Day, NYCDOHMH
3:35 PM

Tuesday, 08/06/2013

Quantile Regression Using a General Class of Probability Distributions
Fassil Nebebe, Concordia University; Tak Mak, Concordia University

Analyzing Student Perceptions of Teaching with Quantile Regression
Kellie Keeling, University of Denver; Robert Pavur, Univ of North Texas

Quantile Regression with Heteroskedasticity and Asymmetry
David J. Mauler, Brigham Young University; James B. McDonald, Brigham Young University

Piecewise Quantile Autoregressive Modeling for Nonstationary Time Series
Alexander Aue, UC Davis; Thomas C.M. Lee, UC Davis; Ming Zhong, UC Davis
9:00 AM

Generalized Quasi-Likelihood Method in Quantile Regression for Longitudinal Data
Xiaoming Lu, Memorial Univ of Newfoundland
9:05 AM

Kernel Estimation of a Quantile Partially Additive Linear Regression Model
Dawit Zerom, California State University at Fullerton
9:35 AM

Composite Change-Point Estimation for Bent Line Quantile Regression
Liwen Zhang, Fudan University; Huixia Judy Wang, North Carolina State University; Zhongyi Zhu, Fudan University
10:05 AM

Partially Linear Additive Quantile Regression with Missing Covariates
Ben Sherwood, University of Minnesota
11:35 AM

Quantile Linear Modeling: A Primer for the Working Statistician
Jarrod Dalton, Cleveland Clinic Foundation
2:05 PM

Quantile Linear Modeling: A Primer for the Working Statistician (Part 2)
Ralph G. O'Brien, Case Western Reserve University
2:45 PM

Wednesday, 08/07/2013

Quantile Mediation Models: Methods for Assessing Mediation Across the Response Distribution
Ernest Shen, University of Southern California; Kiros Berhane, University of Southern California; Chih-Ping Chou, University of Southern California; Mary Ann Pentz, University of Southern California
9:20 AM

Spatially Composite Quantile Regression in Neuroimaging Data Analysis
Linglong Kong, University of Alberta; Hongtu Zhu, UNC-Chapel Hill
9:35 AM

Assessing Quantile Prediction with Censored Quantile Regression Models
Ruosha Li, University of Pittsburgh; Limin Peng, Emory University
12:05 PM

Enhanced Modeling of Top-Box Performance: Bayesian Binary Quantile Regression Applied to Modeling Customer Feedback
Jorge Alejandro, Market Probe
2:50 PM

Quantile Regression for Discrete Data with Application to Birth Outcomes
Luke Smith, North Carolina State University; Montserrat Fuentes, North Carolina State University; Brian J. Reich, North Carolina State University; Amy Herring, UNC CH
3:20 PM

Thursday, 08/08/2013

Adaptive Composite M-Estimation for Partially Overlapping Models
Sunyoung Shin, The University of North Carolina Chapel Hill; Jason Fine, The University of North Carolina Chapel Hill; Yufeng Liu, The University of North Carolina
9:05 AM

Cluster Covariance Matrix Estimation for Quantile Regression Models
Andreas Hagemann, University of Notre Dame
9:35 AM

A Semiparametric Bayesian Model for Longitudinal Data: The Cluster Memory Dirichlet Process Mixture Model
Robert E Weiss, University of California, Los Angeles; Yuda Zhu, Genentech
9:50 AM

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