February 14, 2023
Speaker: Dr. Yuan Fang (Binghamton University)
Topic: Clustering disease trajectories: statistical method applications and evaluation.
Abstract

February 21, 2023
Speaker: Dr. Xuming He (University of Michigan)
Topic: How Good is Your Best Selected Subgroup.
Abstract

February 28, 2023
Speaker: Dr. James D. Wilson (University of San Francisco)
Topic: The Political Brain: Associations of Tasked-based Functional Connectivity Networks and Political Ideology.
Abstract

March 7, 2023
Speaker: Dr. Sijian Wang (Rutgers, The State University of New Jersey)
Topic: Dynamic Attention-Based Functional Data Analysis.
Abstract

March 14, 2023
Speaker: Dr. Holger Dette (Ruhr-Universitaet Bochum)
Topic: Functional data analysis on Banach spaces.
Abstract

March 21, 2023
Speaker: Dr. Hamsa Bastani (University of Pennsylvania)
Topic: Efficient and targeted COVID-19 border testing via reinforcement learning.
Abstract

March 28, 2023
Speaker: Dr. Jie Peng (UC Davis)
Topic: Statistical methods for diffusion MRI.
Abstract

April 11, 2023
Speaker: Dr. Chris Haines (Internal)
Topic: Independent Spacings Theorem with a Maximum Product Spacings Estimation Application.
Abstract

April 18, 2023
Speaker: Dr. Konstantin G. Arbeev (Duke University)
Topic: How Good is Your Best Selected SubgroupStochastic process models: Bringing biology to statistics to advance research on aging.
Abstract

April 27, 2023
Speaker: Dr. Runze Li (Penn State University)
Topic: Model-Free Conditional Feature Screening with FDR Control.
Abstract

September 20, 2022
Speaker: Dr. Soumik Banerjee (Internal)
Topic: Likelihood-based Approach for Testing the Homogeneity of Risk Difference in a Multicenter Randomized Clinical Trial.
Abstract

October 4, 2022
Speaker: Dr. Chao Huang (Florida State University)
Topic: Shape-on-Scalar Regression Models: Going Beyond Prealigned Non-Euclidean Responses.
Abstract

October 25, 2022
Speaker: Dr. John Stufken (George Mason University)
Topic: Musings on Subdata Selection.
Abstract

November 1, 2022
Speaker: Dr. Jinchi Lv (University of Southern California)
Topic: High-Dimensional Knockoffs Inference for Time Series Data.
Abstract

November 8, 2022
Speaker: Dr. Rui Song (North Carolina State University)
Topic: On statistical inference for sequential decision making.
Abstract

November 15, 2022
Speaker: Dr. Rachael Hageman Blair (University at Buffalo)
Topic: Harnessing stability estimation for module detection, clustering, and ensemble clustering.
Abstract

December 6, 2022
Speaker: Dr. Alexander Franks (University of California, Santa Barbara)
Topic: Sensitivity to Unobserved Confounding in Studies with Factor-structured Outcomes.
Abstract

Apr. 5, 2022
Speaker: Dr. Soumik Banerjee (Internal)
Topic: Multistage Minimum Risk Point Estimation (MRPE) with First-Order and Second-Order Asymptotic Properties.
Abstract

Apr. 26, 2022
Speaker: Dr. Krishnakumar Balasubramanian (The University of California, Davis)
Topic: Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos.
Abstract

May 3, 2022
Speaker: Dr. Hongtu Zhu (University of North Carolina)
Topic: Challenges in Biobank-scale: Imaging Genetics and Beyond.
Abstract

May 10, 2022
Speaker: Dr. Yao Zheng (University of Connecticut)
Topic: Tensor methods for high-dimensional time series modeling.
Abstract

Sep. 14, 2021
Speaker: Dr. Matthew Reimherr (Pennsylvania State University)
Topic: KNG - A New Mechanism for Data Privacy.
Abstract

Sep. 21, 2021
Speaker: Dr. Haoda Fu (Eli Lilly and Company)
Topic: Our Recent Development on Cost Constraint Machine Learning Models.
Abstract

Sep. 28, 2021
Speaker: Dr. Eric F. Lock (University of Minnesota)
Topic: Bidimensional Linked Matrix Decomposition for Pan-Omics Pan-Cancer Analysis.
Abstract

Oct. 19, 2021
Speaker: Dr. Damla Senturk (UCLA)
Topic: Multilevel Modeling of Spatially Nested Functional Data: Spatiotemporal Patterns of Hospitalization Rates in the U.S. Dialysis Population.
Abstract

Oct. 26, 2021
Speaker: Dr. Giles Hooker (UC Berkeley)
Topic: There is No Free Variable Importance: Traps in Interpreting Black Box Functions.
Abstract

Nov. 2, 2021
Speaker: Dr. Yuanjia Wang (Columbia University)
Topic: Machine Learning Approaches for Optimizing Treatment Strategies for Mental Disorders.
Abstract

Nov. 9, 2021
Speaker: Dr. Megan Johnson (Internal)
Topic: The Interconnectivity Vector and the Betti Sequence: Finite-Dimensional Vector Representations of Persistent Homology.
Abstract

Nov. 16, 2021
Speaker: Dr. Cen Wu (Kansas State University)
Topic: Robust Bayesian variable selection for gene-environment interactions.
Abstract

Nov. 30, 2021
Speaker: Dr. Antonio Linero (University of Texas at Austin)
Topic: Bayesian Decision Tree Ensembling Strategies for Nonparametric Problems.
Abstract

Dec. 7, 2021
Speaker: Dr. Annie Qu (University of California Irvine)
Topic: Correlation Tensor Decomposition and Its Application in Spatial Imaging Data.
Abstract

Mar. 02, 2021
Speaker: Brian Franczak (MacEwan University)
Topic: On using mixtures of shifted asymmetric Laplace distributions for model-based classification.
Abstract

Mar. 23, 2021
Speaker: Adam Ciarleglio (The George Washington University)
Topic: Multiple imputation in functional regression with applications to EEG data in a depression study.
Abstract

March 30, 2021
Speaker: Wenshu Dai (Binghamton University)
Topic: Finite Mixtures of Regression Models and Finite Mixtures of Regression Models with Concomitant Variables for Clustering Microbiome Data.
Abstract

April. 13, 2021
Speaker: Nalini Ravishanker (University of Connecticut)
Topic: Biclustering Approaches for High-Frequency Time Series.
Abstract

April. 27, 2021
Speaker: Melody Ghahramani (The University of Winnipeg)
Topic:Time Series Regression for Zero-Inflated and Overdispersed Count Data: A Functional Response Model Approach.
Abstract

May 04, 2021
Speaker: Zhou Wang (Binghamton University)
Topic: Multiclass Anomaly Detector: the CS++Support Vector Machine
Abstract

Oct. 20, 2020
Speaker: Sumanta Basu (Cornell University)
Topic: Measuring Systemic Risk with Graphical Models of Time Series Data.
Abstract

Oct. 27, 2020
Speaker: Yuan Luo (Northwestern University)
Topic: A Multidimensional Precision Medicine Approach Identifies an Autism Subtype Characterized by Dyslipidemia
Abstract

Nov. 3, 2020
Speaker: Shaofei Zhao (Binghamton University)
Topic: Distribution-free and nonparametric multivariate feature screening via measure transportation for high dimensional response and predictor variables.
Abstract