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Activity Details

245 Wed, 8/11/2021, 10:00 AM - 11:50 AM Virtual
SLDS CSpeed 4 — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Nathaniel O'Connell, Wake Forest School of Medicine
10:05 AM A Generalization of the Lomax Distribution and Applications to the Cancer Patient Data
Sher B Chhetri, University of South Carolina Sumter; Denzyl Lastimoso, University of South Carolina Sumter; Cory Ball, Oak Ridge National Lab, TN
10:10 AM Statistical Convergence Rates for Knothe-Rosenblatt Coupling Estimators
Nicholas Irons, University of Washington; Zaid Harchaoui, University of Washington; Soumik Pal, University of Washington; Meyer Scetbon, CREST, ENSAE
10:15 AM Tree Boosting for Learning Probability Measures
Naoki Awaya, Duke University; Li Ma, Duke University
10:20 AM Stein’s Paradox for Sample Eigenvectors
Alexander Shkolnik, University of California, Santa Barbara
10:25 AM A model-agnostic hypothesis test for community structure and homophily in networks
Eric Yanchenko, North Carolina State University; Srijan Sengupta, North Carolina State University
10:30 AM Mutually Exciting Point Process Graphs for Modeling Dynamic Networks
Francesco Sanna Passino, Imperial College London; Nick Heard, Imperial College London
10:35 AM Latent Factor Model for Multivariate Functional Data
Ruonan Li, North Carolina State University; Luo Xiao, Department of Statistics, North Carolina State University
10:40 AM Parameter Estimation for Stochastic McKean-Vlasov Equations
Louis Sharrock, Imperial College London; Nikolas Kantas, Imperial College London; Grigorios Pavliotis, Imperial College London; Panos Parpas, Imperial College London
10:45 AM The Bethe Hessian and Information Theoretic Approaches for Online Change-Point Detection in Network Data
Jiarui Xu, Oregon State University; Neil Hwang, City University of New York - Bronx Community College; Sharmodeep Bhattacharyya, Oregon State University; Dr. Shirshendu Chatterjee, City University of New York
10:50 AM Spectral Goodness-of-Fit Tests for Complete and Partial Network Data
Bolun Liu, Department of Statistics, University of Washington; Shane Lubold, Department of Statistics, University of Washington; Tyler McCormick , University of Washington
11:00 AM Testing the constant curvature assumption of networks, with applications in efficient network seeding
Shane Lubold, Department of Statistics, University of Washington
11:05 AM Robust Persistence Diagrams Using Reproducing Kernels
Siddharth Vishwanath, Penn State University; Kenji Fukumizu, Institute of Statistical Mathematics; Satoshi Kuriki, Institute of Statistical Mathematics; Bharath Sriperumbudur, Penn State University
11:10 AM Robust Multiple Regression
Zhipeng Wang, Rice University; David Warren Scott, Rice University
11:15 AM A Random Forest Method with Variable Selection for Developing Prediction Models for Binary Outcomes with Clustered and Longitudinal Data
Jaime Lynn Speiser, Wake Forest School of Medicine
11:20 AM A Robust Birnbaum-Saunders Regression Model Based on Asymmetric Heavy-Tailed Distributions
Rocío Maehara, Universidad del Pacífico; Filidor Vilca, Universidade Estadual de Campinas; Heleno Bolfarine, Universidade de Sao Paulo; Narayanaswamy Balakrishnan, McMaster University
11:25 AM Robust Criterion for Multicollinear Factor Selection
Kimon Ntotsis, University of the Aegean ; Alex Karagrigoriou, University of the Aegean ; Andreas Artemiou, Cardiff University
11:30 AM An Exact Solution to the Univariate Behrens-Fisher Problem and Its Extension
Jiajuan Liang, BNU-HKBU United International College; Guoliang Tian, Southern University of Science and Technology; Man-Lai Tang, The Hang Seng University of Hong Kong ; Jing Yang, Tianjin Medical University
11:35 AM Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates, UC Berkeley