Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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440	Thu, 8/12/2021, 4:00 PM - 5:50 PM		Virtual
SLDS CSpeed 8 — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Adi Andrei, Northwestern University

4:05 PM	Multiclass Regularized Regression Integrating Prior Information Jingxuan He, University of Southern California; Chubing Zeng, University of Southern California; Juan Pablo Lewinger, University of Southern California; David Conti, University of Southern California
4:10 PM	Structural Breaks and Time Series Data: Comparison and Real Data Analysis Arick Grootveld, Western Washington University
4:15 PM	Performance of GANs and VAEs in Image Generation and Its Implication for Medical Applications: A Simulation Study Dawei Liu, Biogen
4:20 PM	Regularization for Shuffled Data Problem via Exponential Family Prior on the Permutation Group Zhenbang Wang, George Mason University; Emanuel Ben-David, US Census Bureau; Martin Slawski, George Mason University
4:25 PM	Penalized Intrinsic Quadratic Spline on the Sphere Jae-Kyung Shin, Department of Statistics, Korea University, Seoul 02841, Korea; Kwan-Young Bak, Department of Statistics, Korea University, Seoul 02841, Korea; Ja-Yong Koo, Department of Statistics, Korea University, Seoul 02841, Korea
4:30 PM	Change-Point Detection in Time Series of Weighted Stochastic Block Model Graphs Carolyn Liu, Ward Melville High School; Heng Wang, AppLovin; Youngser Park, Johns Hopkins University; Carey E Priebe, Johns Hopkins University
4:35 PM	Optimal Financial Portfolio Using Graphical Lasso Under Unstable Environment Ekaterina Seregina, University of California, Riverside; Tae-Hwy Lee, University of California, Riverside
4:40 PM	A Modified Bayesian Information Criterion for Improving the Performance of Tree-Based Learning Algorithms Without the Use of Cross-Validation Nikola Surjanovic, Simon Fraser University; Andrew Henrey, Finning; Thomas Loughin, Simon Fraser University
4:45 PM	Novel Entropy-Based Criterion in the Selection of Clusters of a Biological Network Structure Gul Bahar Bulbul, BGSU
4:50 PM	Estimating Uncertainty of Machine Learning Predictions Using Bayesian Additive Regression Trees Jeong Hwan Kook, Merck & Co., Inc.; Andy Liaw, Merck & Co., Inc.; Yuting Xu, Merck & Co., Inc.; Himel Mallick, Merck Research Laboratories; Vladimir Svetnik, Merck & Co.
5:00 PM	Learning Bayesian Networks Through Birkhoff Polytop Aramayis Dallakyan, Texas A&M University; Mohsen Pourahmadi, Texas A&M University
5:05 PM	Quasi-Monte Carlo, Quasi-Newton for Variational Bayes Sifan A. Liu, Stanford University; Art Owen, Stanford University
5:10 PM	GAMVT: A Generative Algorithm for MultiVariate Timeseries Data Jamie Thorpe, Sandia National Laboratories; Srideep Musuvathy, Sandia National Laboratories; Stephen Verzi, Sandia National Laboratories; Eric Vugrin, Sandia National Laboratories; Matthew Dykstra, Sandia National Laboratories; Meghan Sahakian, Sandia National Laboratories
5:15 PM	A Generative Approach to Conditional Sampling Xingyu Zhou, Department of statistics and actuarial Science, The university of Iowa; Jian Huang, Department of statistics and actuarial science, The university of Iowa; Yuling Jiao, School of Mathematics and Statistics, Wuhan University; Jin Liu, Duke-NUS Medical School, Health Service & Systems Research
5:20 PM	Posterior Sampling Algorithms for Sequential Decision-Making Based on Partially Observed Data Hongju Park, University of Georgia; Mohamad Kazem Shirani Faradonbeh, University of Georgia
5:25 PM	Statistics in 30 Minutes Terrie Vasilopoulos, University of Florida, College of Medicine; Cynthia Garvan, University of Florida, College of Medicine
5:30 PM	Statistical Issues in Principal Component Score Estimation for Exponential Family PCA Ruochen Huang, Ohio State University; Yoonkyung Lee, Ohio State University
5:35 PM	Aggregated Functional Data Model Applied on Clustering and Disaggregation of Electrical Load Profiles Camila P. E. de Souza, The University of Western Ontario; Gabriel Franco de Souza, University of Campinas; Nancy L. Garcia, University of Campinas
5:40 PM	Distributed Learning of Finite Gaussian Mixtures Qiong Zhang, University of British Columbia
5:45 PM	Adaptive Smoothing Dimension Reduction Methods for Neural Firing Rate Data Angel Garcia de la Garza, Columbia University ; Britton Sauerbrei, Janelia Research Campus HHMI; Jeff Goldsmith, Columbia University, Department of Biostatistics

JSM 2021 Online Program

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American Statistical Association