“A Shape Restricted Propensity Score Matching Method in Casual Inference,” Presented by Jing Qin, PhD, National Institute of Allergy and Infectious Diseases.

“Predictive Bayes Factors with an Application Model-Assisted Design,” Presented by Shouhao Zhou, Department of Public Health Services, Division of Biostatistics and Bioinformatics, Penn State Cancer Institute, Pennsylvania State University.

“Joint Inference of ROC Measures for Diagnostic Biomarker/Test Evaluation”, presented by Jingjing Yin, Associate Professor of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University.

“Applications of Finite Mixture Models”, presented by Paul Cislo, PhD., Statistical Research and Data Science Center, Pfizer, Inc.

“Identifiable Deep Generative Models via Sparse Decoding”, presented by Gemma Moran, Postdoctoral Research Scientist, Data Science Institute, Columbia University.

“Harnessing Extra Randomness: Replicability, Flexibility and Causality”, presented by Richard Guo, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge.

“Optimal Subgroup Identification”, presented by Matteo Bonvini, Department of Statistics and Data Science, Carnegie Mellon University.

“Bayesian Spatial Homogeneity Learning for Functional Data”, presented by Guanyu Hu, Department of Statistics, University of Missouri.

“The Promises of Parallel Outcomes”, presented by Ying Zhou, Department of Statistics, University of Toronto.