College of Liberal Arts & Sciences
The Department of Statistics Seminar Speaker Archives from 2010-2014.
2010
Abstract Title, Link to Abstract, Speaker and Seminar Date
Massive Data, Monumental Challenges Robert Brunner, University of Illinois Urbana-Champaign Jan 21, 2010
A self-normalized approach to statistical inference for time series Xiaofeng Shao, University of Illinois Urbana-Champaign Jan 28, 2010
Dimension reduction by groups Li Lexin, North Carolina State University Feb 4, 2010
Some Statistical Issues in Computerized Adaptive Testing --A Close Look at Graduate Record Examination Huahua Chang, University of Illinois Urbana-Champaign Feb 11, 2010
Some Results on the Complementary Approach to Fractional Factorial Design Michael Zhu, Purdue University Feb 18, 2010
Robust Model-free Multiclass Probability Estimation Yichao Wu, North Carolina State University Feb 25, 2010
The Restricted Likelihood (REML) in Time Series Econometrics: Estimation and Likelihood based Inference in Autoregressive Models, Predictive Regressions, Dynamic Panel Data and Co-integrated Sytems Rohit Deo, New York University Mar 12, 2010
High Dimensional Inverse Covariance Matrix Estimation Ming Yuan, Georgia Tech Mar 18, 2010
Simultaneous confidence bands for nonparametric regression with functional data David Degras, University of Chicago Apr 8, 2010
Nonparametric model validations for hidden markov models with applications in financial econometrics Zhibiao Zhao, Penn State University Apr 15, 2010
Detection of copy number variations using high-throughput genetic data Mingyao Li, University of Pennsylvania Apr 22, 2010
Imaging the Earth's deep interior: a statistical perspective Ping Ma, University of Illinois Urbana-Champaign Sep 2, 2010
A Bayesian Approach for Structured Sparsity with Application to Market Segmentation Feng Liang, University of Illinois Urbana-Champaign Sep 9, 2010
Interdisciplinary Neuroimaging and Its Statistical Data Analysis Michelle Wang, University of Illinois Urbana-Champaign Sep 16, 2010
Designs for Computer Experiments, Cross-validation and Stochastic Optimization Zhiguang "Peter" Qian, University of Wisconsin-Madison Sep 23, 2010
Reduced rank models for spatially correlated functional data Lan Zhou, Texas A&M University Sep 30, 2010
Bayesian clinical trials in action J. Jack Lee, MD Anderson Cancer Center Oct 7, 2010
Collecting coupons: is there still life in an old problem? Bob Smythe, Oregon State University Oct 14, 2010
Mixtures, modes, clusters, and soft inference in high dimensions Bruce Lindsay, Penn State Oct 21, 2010
Bootstrap for U-statistics of dependent data Martin Wendler, Ruhr-Universitat Bochum Oct 28, 2010
Estimation of the mean and the principal components of spatially distributed functional data Piotr Kokoszka, Utah State university Nov 4, 2010
Automation and Medical Community Infrastructure Support for 3D volume reconstruction from microscope imagery Peter Bajcsy, University of Illinois Urbana-Champaign Nov 11, 2010
Geometry and topology in statistical Inference Sayan Mukherjee, Duke University Nov 18, 2010
A unified approach to model selection and sparse recovery using regularized least squares Jinchi Lv, University of Southern California Dec 2, 2010
2011
Statistical and computational challenges for metagenomics data analysis Hongmei Jiang, Northwestern University Jan 20, 2011
Network based comparison of temporal gene expression patterns Sheng Zhong, University of Illinois Urbana-Champaign Jan 27, 2011
From Fourier to Forensics Michael Weissman, University of Illinois at Urbana-Champaign Feb 3, 2011
Functional Linear Model with Zero-value Coefficient Function at Sub-regions Jianhui Zhou, University of Virginia Feb 10, 2011
Estimation of Renyi and Shannon Differential Entropy and Information via Euclidean Graph Optimization Sergey Kirshner, Purdue University Feb 17, 2011
Spectral analysis of network connectivity for children's narrative comprehension Xiaodong Lin, Rutgers University Feb 24, 2011
A Brief History of Spatial Analysis Anil Bera, Dept. of Economics, University of Illinois Urbana-Champaign Mar 3, 2011
Model Influence and Selection for Continuous Social Behavior Variables Liping Tong, Loyola University Chicago Mar 10, 2011
Kernel Estimation for Stationary Time Series with an Online Learning Approach Yinxiao Huang Univ. of Chicago Mar 15, 2011
Constrained Parameter and Statistical Learning Models for Gene/Biomarker Selection and Prediction Ming Tan, Univ. of Maryland Mar 17, 2011
High Dimensional Time Series Modeling Song Song, Univ. of California, Berkeley Mar 18, 2011
Asymptotics for Current Status Data Under Varying Observation Time Sparsity Runlong Tang, Univ. of Michigan Mar 29, 2011
GEE Analysis of Clustered Binary Data with Diverging Number of Parameters Lan Wang, University Minnesota Apr 1, 2011
Optimal Weight Choice for Frequentist Model Average Estimators Hua Liang, University of Rochester Apr 7, 2011
Genetics Studies of Multivariate Traits Heping Zhang, Yale University Apr 14, 2011
Generalized likelihood ratio test for nonstationary time series Zhou Zhou, University of Toronto Apr 21, 2011
Problems in Conditional Sampling Ian Dinwoodie, Portland State University Apr 28, 2011
I don't know where I'm gonna go when the volcano blows Jim Berger, Duke University May 5, 2011
Using the criterion-predictor factor model to compute the probability of detecting prediction bias with ordinary least squares regression Steven Culpepper, University of Colorado Denver Jun 13, 2011
Contribution of Indian Statistical Institute (ISI) in statistics and cryptology: a long story short Bimal Roy, Indian Statistical Institute Aug 25, 2011
Monte Carlo error estimation for MCMC and Adaptive MCMC Yves Atchade, University of Michigan Aug 30, 2011
Two-component Mixture Cure Rate Model with Spline Estimated Nonparametric Components Pang Du, Virginia Tech Sep 8, 2011
Censoring and Penalization for Regression Quantiles Stanislav Volgushev, Bochum University Sep 15, 2011
Divide and Conquer: Some Strategies for Regional Adaptive MCMC Radu Craiu, University of Toronto Sep 22, 2011
Simultaneous supervised clustering and feature selection Xiaotong Shen, University of Minnesota Sep 29, 2011
Quickest Changepoint Detection: State-of-the-Art Alexander Tartakovsky, University of Southern California Oct 6, 2011
Optimal Sparse Segment Identification with Applications in Copy Number Variation Analysis Hongzhe Li, University of Pennsylvania Oct 13, 2011
Latent Space Model for Aggregated Relational Data ian Zheng, Columbia University Oct 20, 2011
Variable-selection Ensembles Mu Zhu, University of Waterloo Oct 27, 2011
Confidence Distribution, the Frequentist Distribution Estimator of a Parameter Minge Xie, Rutgers University Oct 28, 2011
Tractatus Elastico-Plasticus: Mechanical Models in Nonparametric Regression Ivan Mizera, University of Alberta Nov 4, 2011
Pathway-based Ovarian Cancer Survival Analysis Sijian Wang, University of Wisconsin-Madison Nov 10, 2011
Randomized Algorithms for Matrices and Data Michael Mahoney, Stanford University Nov 17, 2011
A Shared Parameter Model for the Estimation of Longitudinal Concomitant Intervention Effects Colin Wu, National Heart, Lung and Blood Institute Dec 1, 2011
2012
Reasoning about Interference Between Units Jake Bowers, University of Illinois at Urbana-Champaign Jan 26, 2012
Modeling Network Data Patrick J. Wolfe, University College London/Harvard University Feb 2, 2012
Bayesian Clustering with Regression Peter Mueller, University of Texas Austin Feb 16, 2012
Problems arising from solving quantum problems on classical computers David Ceperley, Universitry of Illinois at Urbana-Champaign Mar 1, 2012
Simultaneous Inference of Covariances Han Xiao, Rutgers University Mar 8, 2012
Data Mining & Analytics at Caterpillar Craig Brabec, Analytics Division Manager at Caterpillar Apr 3, 2012
Biological Network Inference from Genomics Data Hongyu Zhao, Yale University Apr 5, 2012
On the Computation of Autocovariances for Generalized Gegenbauer Processes Tucker McElroy, U.S. Census Bureau Apr 12, 2012
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems Tong Zhang, Rutgers Apr 19, 2012
High Dimensional Statistical Learning with Bayesian Variable Selection Wenxin Jiang, Northwestern University Apr 26, 2012
Statistical Models and Methods for Spatial Data with Strong Local Dependence Michael Stein, University of Chicago Sep 6, 2012
High Dimensional Empirical Likelihood for Generalized Estimating Equations with Dependent Data Song-Xi Chen, Iowa State University Sep 20, 2012
Budget-Optimal Task-Allocation for Reliable Crowdsourcing Systems Sewoong Oh, University of Illinois at Urbana-Champaign Sep 27, 2012
A Discussion of Graphical Inference Heike Hofmann, Iowa State University Oct 4, 2012
Bayesian Models for Next-Generation Sequencing Data on Histone Modifications Yuan Ji, NorthShore University HealthSystem Oct 11, 2012
Statistical methods for RNA-seq data Wei Sun, University of North Carolina Oct 18, 2012
Stochastic dynamics on networks. Emergence of collective behaviors Lee DeVille, University of Illinois at Urbana-Champaign Nov 1, 2012
Statistical downscaling for Bivariate Data in Climate Projections Xuming He, University of Michigan Nov 15, 2012
Probabilistic Methods for Efficient Search and Statistical Learning in Extremely High-Dimensional Data Ping Li, Cornell University Jan 17, 2013
Decentralized Sequential Change Detection Georgios Fellouris, University of Southern California Feb 19, 2013
Gene regulation network inference with joint sparse Gaussian graphical models Hyonho Chun, Purdue University Feb 28, 2013
Longitudinal Functional Regression Models with Structured Penalties Jaroslaw (Jarek) Harezlak, Indiana University Mar 14, 2013
Universally Optimal Crossover Designs under Subject Dropout Wei Zheng, IUPUI Mar 28, 2013
Functional Boxplots for Visualization of Complex Curve/Image Data and Paradigms for a 21st Century University Marc G. Genton, KAUST Mar 29, 2013
Learning nonlinear gene regulatory networks from perturbed steady-states Wing Wong, Stanford University Apr 2, 2013
Decoupled Shrinkage and Selection in linear models Richard Hahn, University of Chicago Booth School of Business Apr 4, 2013
General Directional Regression Yuexiao Dong, Temple University Apr 11, 2013
Inferring Functional Interaction and Transition Patterns via Dynamic Bayesian Variable Partition Model Jing Zhang, Yale University Apr 18, 2013
Optimal Estimation of the Intensity Function of a Spatial Point Process Yongtao Guan, University of Miami Apr 25, 2013
Smoothing spline analysis of variance models for electroencephalography data analysis Nathaniel Helwig Jun 6, 2013
Reproducing Kernel Hilbert space approach to Functional Regression for general exponential families Carlos Valencia Jun 7, 2013
Penalized Likelihood Principal Components and Orthonormally-Constrained Optimization Trevor Park Jun 18, 2013
Asymptotically minimax empirical Bayes estimation of a sparse Ryan Martin, University of Illinois, Chicago Sep 26, 2013
Empirical and Sequential Empirical Copula Processes under Serial Dependence and Weak Smoothness Conditions Stanislav Volgushev, Ruhr-Universitaet Bochum Oct 3, 2013
Sparse Principal Component Analysis: Optimal Rates and Adaptive Estimation Yihong Wu, University of Illinois Urbana-Champaign Oct 10, 2013
Asymptotically Valid and Exact New Permutation Tests Eun Yi Chung, University of Illinois at Urbana-Champaign Oct 17, 2013
Bernstein - von Mises Theorems for general functionals Judith Rousseau, University Paris Dauphine & ENSAE-CREST Oct 22, 2013
Sequential Adaptive Bayesian Learning for Inference and Optimization John Geweke, University of Technology Sydney Oct 24, 2013
Credibility of Confidence Sets in Nonstandard Econometric Problems Andriy Norets, University of Illinois Urbana-Champaign Oct 31, 2013
Model Building for Partially Time-Varying Coefficient Models Ting Zhang, University of Iowa Nov 7, 2013
Equivalent Kriging Will Kleiber, University of Colorado at Boulder Nov 21, 2013
Stability Bin Yu, University of California Berkeley Dec 2, 2013
2014
Quantile secondary analysis for case-control studies with applications to GWAS data Ying Wei, Columbia University Feb 27, 2014
Effective dimension reduction for sparse functional data Fang Yao, University of Toronto Mar 6, 2014
Guided Clinical Research with Electronic Medical Records Haoda Fu, Eli Lilly Company Mar 13, 2014
The Bold Vision of Artificial Intelligence and Philosophy: Directed Acyclic Graphs and Causal Discovery from Non-Independence Constraints James Robins, Harvard University Mar 18, 2014
A Discussion of Research Problems in Quantitative Risk Management of Variable Annuities Guaranteed Benefits Runhuan Feng, University of Illinois Urbana-Champaign Apr 17, 2014
Autoregressive Conditional Models for Interval-Valued Time Series Data Yongmiao Hong, Cornell University Apr 24, 2014
A Day in the Life of a Pharmaceutical Statistician Serena Chan, Veriflow Systems Sep 11, 2014
A Spatio-Temporal Point Process Model for Ambulance Demand David Matteson, Cornell University Sep 18, 2014
Scalable Model Selection for Logistic Regression Xuming He, University of Michigan Sep 23, 2014
Unified View of Portmanteau Tests for General Statistical Models Masanobu Taniguchi, Waseda University in Tokyo Sep 25, 2014
Parameter estimation for a partially observed Ornstein-Uhlenbeck process with long-memory noise Frederi Viens, Purdue University Oct 2, 2014
Quantile-Based Spectral Analysis of Time Series Tobias Kley, Ruhr-Universitaet Bochum Oct 3, 2014
Multilinear Models for Relational Tensor Data Peter Hoff, University of Washington Oct 16, 2014
Rate-Optimal Detection of Very Short Signal Segments Ming Yuan, University of Wisconsin - Madison Oct 23, 2014
Statistical Programming and R for Reproducible Research James Balamuta, University of Illinois Urbana-Champaign Oct 24, 2014
Understanding the Behavior of Large Random Networks Patrick Wolfe, UCL London Oct 30, 2014
Asymptotic Properties of Functions of Order Statistics Vasudevan Mangalam, UCSB Nov 7, 2014
Combining Information from Stock and Option Prices: An Empirical Likelihood Approach Zhiliang Ying, Columbia University Nov 13, 2014
From Adaptive Testing to Adaptive Learning Hua-Hua Chang, University of Illinois at Urbana-Champaign Nov 13, 2014
L^2 Asymptotics for High-Dimensional Data Mengyu Xu, University of Chicago Nov 20, 2014
New methods for inferring species trees in the presence of incomplete lineage sorting Tandy Warnow, University of Illinois Urbana-Champaign Nov 21, 2014
An L^2 Test Theory for Nonstationary Time Series Wei Biao Wu, University of Chicago Dec 2, 2014
Data Driven Astrophysics: A New Approach to Understanding our Universe Robert Brunner, University of Illinois Urbana-Champaign Dec 5, 2014
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