“Epsilon-Greedy strategy for Nonparametric Bandits,” presented by Sakshi Arya, Eberly Fellow and Postdoctoral Researcher, Department of Statistics, Penn State University

“Powerful Large-scale Inference in Omics Association Studies,” Presented by Xianyang Zhang, Associate Professor, Department of Statistics, Texas A & M University

“Copula-Based Approaches for Analyzing Non-gaussian Spatial Data,” presented by Judy Huixia Wang, Chair and Professor, Department of Statistics, Washington University

“A ‘Divide-and-Conquer’ AECM Algorithm for Large non-Gaussian Longitudinal Data with Irregular Follow-Ups, presented by Reuben Retnam, Takeda Pharmaceuticals

“Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings,” presented by Scott Bruce, Assistant Professor, Department of Statistics, Texas A & M University

“Multiple Bias Calibration for Valid Statistical Inference With Selection Bias,” presented by Jae-Kwang Kim, LAS Dean’s Professor, Department of Statistics, Iowa State University.

“Dynamic Risk Prediction Triggered by Intermediate events Using Survival Tree Ensembles,” presented by Yifei Sun, Assistant Professor, Department of Biostatistics, Columbia University

“Taylor’s Law for Semivariance and Higher Moments of Heavy-Tailed Distributions,” presented by Chuan-Fa Tang, Assistant Professor, Department of Mathematical Sciences, University of Texas at Dallas

“Point Process Models for Sequence Detection in Neural Spike Trains,” presented by Scott Linderman, Assistant Professor, Department of Statistics, Stanford University

“The Inner Partial Least Square – A Probe Into the “Necessary” Dimension Reduction,” presented by Lan Liu, Associate Professor, Director of the Consulting Center, School of Statistics, University of Minnesota