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2020 Colloquium Speakers

Date Speaker Title
January 16 Kris Sankaran (Stanford/U of Montreal) Navigation and Evaluation in High-Dimensional Data
January 21 Tianying Wang (Columbia University) Integrated Quantile Rank Test (iQRAT) for gene-level associations in sequencing studies
January 23 Xiang Zhu (Stanford University) Complex trait genetics through the lens of regulatory networks
January 28 David Kepplinger (University of British Columbia) Detecting the Signal Among Noise and Contamination in High Dimensions
January 30 Nhat Ho (University of California Berkeley) Statistical and computational perspectives on latent variable models
February 3 Yuqi Gu (University of Michigan) Uncover Hidden Fine-Gained Scientific Information: Structured Latent Attribute Models
February 20 Stephen Berg (University of Wisconsin – Madison) Modeling and computation for multivariate spatial categorical data and related theory, with applications to historical ecology
March 5 Marco Avella-Medina (Columbia University) Privacy-preserving parametric inference: a case for robust statistics
Postponed Bing Li (Penn State) Statistical Sufficiency: A Short Path from Data to Knowledge
Postponed Lizhen Lin (University of Notre Dame) TBA
Postponed Sara Algeri (University of Minnesota) TBA
August 27 Lisa Madsen (Oregon State University) N-Mixture Models with Applications to Disease Surveillance
September 3 Lester Mackey (Microsoft) Probabilistic Inference and Learning with Stein's Method
September 10 Jonathan Bradley (Florida State University) Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model
September 17 Shanshan Ding (University of Delaware) A unified framework to high dimensional sufficient dimension reduction with applications to censored data
September 24 Kiseop Lee (Purdue) Systemic Risk in Market Microstructure of Crude Oil and Gasoline Futures Prices: A Hawkes Flocking Model Approach
October 1 Chris Wild (University of Auckland) Education, democratizing data, and software: Targeting the intersection
October 8 D.J. Sutherland (University of British Columbia) Can Uniform Convergence Explain Interpolation Learning?
October 15 Lizhen Lin (University of Notre Dame) Optimal Bayesian estimation of finite mixtures with growing number of components
October 22 Sara Algeri (University of Minnesota) Informative Goodness-of-Fit for Multivariate Distributions
October 29 Paromita Dubey (Stanford University) Frechet Change Point Detection Abstract
November 5 Mingyao Li (University of Pennsylvania Perelman School of Medicine) Translation of single-cell genomics into human health: methods and applications
November 12 Ji Zhu (University of Michigan) Matrix Completion for Network Analysis
November 19 Yuanjia Wang (Columbia University) Statistical Methods for Predicting COVID-19 Pandemic and Assessing Effects of Mitigation Strategies
December 3 Xinghao Qiao (London School of Economics) An Autocovariance-based Learning Framework for High-Dimensional Functional Time Series
December 10 Michael Love (University of North Carolina) Assessing Consistency of Multi-Modal Methods in Bulk Tissue and Single Cells

A look back at previous COLLOQUIA.