College of Liberal Arts & Sciences
The Department of Statistics Seminar Speaker Archives from 2015-Current.
2015
Software Reliability from Crowd-Sourced Software Testing Bimal Roy, Director, Indian Statistical Institute Feb 5, 2015
Preparing for March Machine Learning Mania Roger Koenker, University of Illinois Urbana-Champaign Feb 20, 2015
Robust inference for time series models: a wavelet-based framework Roberto Molinari, University of Geneva Feb 26, 2015
The Yule-Coalescent Hierarchical Model James Degnan, University of New Mexico Mar 10, 2015
Prior-free Probabilistic Inference: Inferential Models Chuanhai Liu, Purdue University Mar 12, 2015
A New Nonparametric Stationarity Test of Time Series in Time Domain Suojin Wang, Texas A&M University Mar 19, 2015
Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis Scott Holan, University of Missouri Apr 2, 2015
Robust Estimation for Clustered Failure Time Data: Application to Huntington’s Disease Yanyuan Ma, University of South Carolina Apr 7, 2015
A Prediction Divergence Criterion for Model Selection Maria-Pia Victoria-Feser, University of Geneva Apr 9, 2015
High Performance Computing with R - Part 1: Compiled Code James Balamuta, PhD Student Apr 10, 2015
Recent Advances on Optimal Design of Experiments Min Yang, University of Illinois, Chicago Apr 16, 2015
On High-dimensional Robust Regression and Inefficiency of Maximum Likelihood Methods Noureddine El Karoui, University of California, Berkeley Apr 23, 2015
Additive Model Building for Spatial Regression Arnab Bhattacharjee, Heriot-Watt University & Tapabrata Maity, Michigan State University Apr 24, 2015
High Performance Computing with R - Part 2: Parallelization Techniques James Balamuta, PhD Student Apr 24, 2015
Overview of a Statistical Genetics and Genomics Research Program Alexander Lipka, University of Illinois, Urbana-Champaign May 7, 2015
Changepoints and Associated Climate Controversies Robert Lund, Clemson University Sep 10, 2015
Tests for Covariance Structures with High-dimensional Repeated Measurements Ping-Shou Zhong, Michigan State University Sep 17, 2015
Variance estimation for high-dimensional linear models: Fixed-effects, random-effects, and quadratic forms Lee Dicker, Rutgers University Sep 24, 2015
A data-driven approach to conditional screening of high dimensional variables Hyokyoung Hong, Michigan State University Oct 8, 2015
Breaking Data Science Robert Brunner, University of Illinois at Urbana-Champaign Oct 22, 2015
Quantile Regression for Extraordinarily Large Data Shih-Kang Chao, Purdue University Nov 5, 2015
Reproducibility in Science: Reliability in Statistical and Data Driven Discovery Victoria Stodden, University of Illinois at Urbana-Champaign Nov 12, 2015
High dimensional spatio-temporal modeling with matrix variate distributions Shuheng Zhou, University of Michigan Dec 3, 2015
2016
Consistent and Scalable Bayesian Model Selection for High Dimensional Data Naveen N. Narisetty, University of Michigan Jan 19, 2016
Statistical Inferences using Geometric Features Yen-Chi Chen, Carnegie Mellon University Jan 21, 2016
Computationally efficient high-dimensional variable selection via Bayesian procedures Yun Yang, University of California, Berkeley Jan 26, 2016
Robust causal inference with continuous exposures Edward Kennedy, University of Pennsylvania Jan 28, 2016
Representation of Samples of Density Functions and Regression for Random Objects Alex Peterson, University of California, Davis Feb 2, 2016
Novel Statistical Frameworks for Analysis of Structured Sequential Data Abhra Sarkar, Duke University Feb 4, 2016
Classification with unstructured predictors and an application to sentiment analysis Annie Qu, University of Illinois Urbana-Champaign Mar 3, 2016
Covariance-Insured Screening Methods for Ultrahigh Dimensional Variable Selection Yi Li, University of Michigan Mar 17, 2016
Adaptive Sequential Learning Venu Veeravalli, ECE, CSL and ITI, University of Illinois Urbana-Champaign Apr 7, 2016
Quickest Change-Point Detection: The Shiryaev--Roberts Approach Aleksey Polunchenko, Binghamton University Apr 14, 2016
Regression with Covariate Subject to Limit of Detection Bin Nan, University of Michigan Apr 21, 2016
Understanding Bayes Factor Asymptotics Todd Kuffner, Washington University in St. Louis Apr 28, 2016
On optimality of the confidence interval for the mean based on a single observation Stephen Portnoy, University of Illinois Urbana-Champaign Jun 14, 2016
A thresholding double ridge ratio criterion for dimensionality determination Lixing Zhu, Hong Kong Baptist University Aug 25, 2016
Institute of Mathematics for Industry: its general and statistical activities Ryuei Nishii, Kyushu University Aug 29, 2016
Sparse estimation of large covariance matrices Kei Hirose, Kyushu University Aug 29, 2016
Adaptive sparse Bayesian regression with variational inference for parameter estimation Satoru Koda, Kyushu University Aug 30, 2016
Bayesian inference of panels of threshold autoregressive time series Noelle Samia, Northwestern University Sep 15, 2016
Multi-armed Bandits with Covariates: Theory and Applications Tse L. Lai , Stanford University Sep 27, 2016
Causal Inference in High Dimensions Stefan Wager, Stanford University Sep 29, 2016
Gaussian Approximation for High Dimensional Time Series Danna Zhang, University of Chicago Oct 6, 2016
Robust estimation of high dimensional covariance and precision matrices Marco Avella-Medina, MIT Oct 13, 2016
A New Approach to Multiple Testing of Grouped Hypotheses Zhigen Zhao, Temple University Oct 20, 2016
Design and Analysis of Clinical Studies using Restricted Mean Survival Time Lihui Zhao, Northwestern University Nov 3, 2016
Hypothesis Testing for Detecting Dense and Sparse Signals in Analysis of Massive Whole Genome Data Xihong Lin, Harvard University Nov 12, 2016
Linear Predictors for semi-supervised Regression Lawrence D. Brown, University of Pennsylvania Nov 12, 2016
Community Detection in Degree-Corrected Block Models Chao Gao, University of Chicago Nov 17, 2016
2017
Uncertainty in Data Analytics David Stracuzzi, Sandia Jan 25, 2017
Causality in Statistics and Econometrics Guido Imbens, Stanford University Feb 9, 2017
Clustering as a Design Problem Guido Imbens, Stanford University Feb 10, 2017
Computation of Percentiles from Obfuscated Data Bimal Roy, Indian Statistical Institute Feb 15, 2017
Nearest Labelset Using Double Distances for Multi-label Classification Hyukjun Gweon, University of Waterloo Feb 17, 2017
Quantilograms under Strong Dependence JiHyung Lee, University of Illinois Urbana-Champaign Mar 2, 2017
Bayesian inference for Gaussian graphical models beyond decomposable graphs Kshitij Khare, University of Florida Mar 7, 2017
Adaptive Risk Bounds in the Nonparametric Bradley Terry Model Sabyasachi Chatterjee, University of Chicago Mar 10, 2017
Exact Heat Kernel on a Hypersphere and its Applications to Data Classification Jun Song , University of Illinois Urbana-Champaign Mar 16, 2017
Analysis of asynchronous longitudinal data with partially linear models Hongyuan Cao, University of Missouri Mar 30, 2017
Predictability Hidden by Anomalous Observations Olivier Scailler, University of Geneva Mar 31, 2017
Subdiagonal Codes for Rank Aggregation with Probabilistic Performance Guarantees Olgica Milenkovic, University of Illinois at Urbana-Champaign Apr 6, 2017
Selection and its Inference using the whole solution paths Peng Wang, University of Cincinnati Apr 13, 2017
Text as Data at Illinois: Joining the Big Data Breakout Scott Althaus, University of Illinois Urbana-Champaign Apr 14, 2017
Censored quantile regression in high dimensional survival data Qi Zheng, University of Louisville Apr 20, 2017
The Maximum Separation Subspace (MASES) in Sufficient Dimension Reduction with Categorical Response Xin Zhang, Florida State University Apr 27, 2017
Stein's Method Applied to Some Statistical Problems Jay Bartroff, University of Southern California May 2, 2017
Variable selection and estimation in sparse regression models with quadratic measurements Liqun Wang, University of Manitoba May 12, 2017
Redefine Statistical Significance Luis Pericchi, University of Puerto Rico Aug 10, 2017
Modeling Dependent Insurance Risks: Customer Loyalty and Risk in Personal Insurance Edward W. Frees, University of Wisconsin-Madison Sep 6, 2017
Envelope-Based Sparse Partial Least Squares Zhihua Su, University of Florida Sep 7, 2017
Joint Estimation of Linear Quantile Planes Surya Tokdar, Duke University Sep 21, 2017
Stuck in Traffic: Reflections of a Statistically-Minded Motorist Richard Sowers, University of Illinois Urbana-Champaign Sep 28, 2017
On the analysis of Bregman-surrogate algorithms for nonsmooth nonconvex optimization Yiyuan She, Florida State University Oct 19, 2017
Nonparametric Density Estimation on Riemannian Manifolds: A Methodology for Developing Spatio-Temporal Features Justin Jacobs, Sandia National Labs Oct 26, 2017
Edgeworth's Time Series Model Stephen Portnoy, University of Illinois Urbana-Champaign Oct 31, 2017
Metrics Matter, Examples from Binary and Multilabel Classification Sanmi Koyejo, University of Illinois Urbana-Champaign Nov 2, 2017
Fast and Optimal Bayesian Inference via Variational Approximations Yun Yang, Florida State Nov 9, 2017
Risk Modeling in Banking & Wells Fargo Quantitative Associate Program Vijay Nair, Wells Fargo Nov 14, 2017
Dealing with Asymmetry: Optimal Shrinkage prediction of Quantiles Gourab Mukherjee, University of Southern California Nov 16, 2017
Interactive algorithms for multiple hypothesis testing Aaditya Ramdas, University of California Berkeley Nov 28, 2017
Modeling and Inference of Local Stationarity Tailen Hsing, University of Michigan Nov 30, 2017
Two Problems in Risk Management with Basis Risk Jingong Zhang, University of Waterloo Dec 5, 2017
Weighted Insurance Pricing Model: Gini Shortfall, economic pricing and capital adequacy Edward Furman, York University Dec 12, 2017