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321 Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Machine Learning and Variable Selection — Contributed Speed
Section on Statistical Computing
Chair(s): Mikael Kuusela, Carnegie Mellon University
3:35 PM Robust Boosting for Regression Problems
Xiaomeng Ju, University of British Columbia; Matias Salibian-Barrera, University of British Columbia
3:40 PM WITHDRAWN: On Model-Based Clustering of Directional Data with Heavy Tails and Outliers
Yingying Zhang, University of South Alabama; Volodymyr Melnykov, University of Alabama; Igor Melnykov, University of Minnesota Duluth
3:45 PM Performance of a Genetic Algorithm for DeGroot Opinion Diffusion Model Parameter Estimation Under Assumption Violations
Kara Layne Johnson, Montana State University; Jennifer L. Walsh, Medical College of Wisconsin; Yuri A. Amirkhanian, Medical College of Wisconsin; Nicole Bohme Carnegie, Montana State University
3:50 PM Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
Yifan Chen, University of Illinois at Urbana-Champaign; Yun Yang, University of Illinois at Urbana-Champaign
3:55 PM Linear Regression with Mismatched Data: Local Search with Theoretical Guarantees
Haoyue Wang, Massachusetts Institute of Technology; Rahul Mazumder, Massachusetts Institute of Technology
4:00 PM A Statistical Testing Procedure for Validating Class Labels
Melissa Key, STAT COE; Ben Boukai, IUPUI School of Science; Susanne Ragg, University of Florida Health
4:05 PM A Minimum Penalty for Multivariate Regression
Brad Price, John Chambers College of Business and Economics, West Virginia University; Ben Sherwood, School of Business, University of Kansas
4:10 PM The 2015 Chinese Stock Market Bubble and Crash
Min Shu, University of Wisconsin Stout; Wei Zhu, Stony Brook University
4:15 PM Unfolding the Instantaneous Effect of Each Probability Process in a Mixture Stochastic Process
Asif Shams Adnan, East West University; Mian Arif Shams Adnan, Bowling Green State University
4:20 PM Clustering of Longitudinal Curves via a Penalized Method and EM Algorithm
Xin Wang, Miami University
4:30 PM Variable Selection for Spatially Varying Coefficient Models
Jakob A. Dambon, University of Zurich; Fabio Sigrist, Lucerne University of Applied Sciences and Arts; Reinhard Furrer, University of Zurich
4:35 PM Model Selection for Zero-Inflated Generalized Linear Models
Abdulla Al Mamun, Gonzaga University; Sudhir Paul, University of Windsor
4:40 PM An R-Squared Approach to Tuning Parameter Selection in Penalized Estimation
Julia C. Holter, North Carolina State University; Jon Stallrich, North Carolina State
4:45 PM Lasso-Regularized Local Smoothing for Longitudinal Analysis with Time-Varying Coefficient Models
Xiaoyang Ma, NHLBI, NIH; Georgetown University; Colin O Wu, National Heart, Lung and Blood Institute, National Institutes of Health; Xin Tian, National Heart, Lung and Blood Institute, National Institutes of Health
4:50 PM Model Selection in Algebraic Pattern Recognition
Qida Ma, Microsoft; David Kahle, Baylor University
4:55 PM A Highly Efficient Group Elastic Net Algorithm with an Application to Function-on-Scalar Regression
Tobia Boschi, Penn State University; Matthew Reimherr, Penn State University; Francesca Chiaromonte, Penn State University
5:00 PM On Functional Linear Regression with Smooth/Sparse Penalties
Rebecca Marie North, North Carolina State University; Jon Stallrich, North Carolina State
5:05 PM Improving Variable Selection in Linear Models Using the Select Boost Algorithm
Myriam Maumy, Université de technologie de Troyes; Frederic Bertrand, Université de technologie de Troyes
5:10 PM A Von Mises-Fisher Clustering Modeling for the Inference of Orientational Preferences of Protein Domains with Scattering Data
Seyed Morteza Najibi, Lund University; Ingemar Andre, Lund University