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
