Archived Colloquia

Speaker Title Date
Yichuan Zhao Rank-based estimating equation with non-ignorable missing responses 11-20-2018
Chunfeng Huang Intrinsic Random Functions on the Sphere 11-13-2018
Vladas Pipiras Sampling-based Estimation of In-degree Distribution in Directed Complex Networks 11-6-2018
Likai Chen Statistical Learning for Time Dependent Data 10-30-2018
David Aldous Some of My Favorite Open Problems in Mathematical Probability 10-18-2018
David Aldous [John Kinney Memorial Lecture] Probability, Outside the Textbook 10-16-2018
Yang Feng Neyman-Pearson classification algorithms and NP receiver operating characteristics 10-9-2018
Natalie Neumeyer Change-point tests in nonparametric time series models 10-4-2018
Natalie Neumeyer Nonparametric boundary regressione 10-2-2018
Leonard Johnson Denoising Large Neuro-lmage MRI Data Using Spatial Random Effect Model 9-25-2018
Owen Carmichael Advanced Statistical Analysis of Neuroimaging Data: Why It Matters 9-18-2018
Alexander Sakhanenko Non-classical boundary crossing problems for general random walks 9-4-2018
Zhengyuan Zhu Integration of Survey Data and Big Data to Improve Agricultural Statistics 5-1-2018
Iain Johnstone Hannan Lecture Series 04-2018
Nathan Glatt-Holtz Adventures in Bayesian Statistical Inversion: Theory, Computation and Applications 03-27-2018
Todd Kuffner Philosophy of Science, Principled Statistical Inference, and Data Science 03-13-2018
Shrijita Bhattacharya Trimming the Hill estimator: robustness, optimality and adaptivity & Spatial impact of extreme heat waves 02-22-2018
Krishna Balasubramanian Parametric and Nonparametric Models for Higher-order Interactions 02-20-2018
Xuan Cao Graphical Models, Non-local Priors in High-dimensional Bayesian Analysis 02-15-2018
Boxiang Wang Modern Classification with Big Data 02-13-2018
Xiongtao Dai Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres 02-08-2018
David Jones Detection methodology and statistical information theory for exoplanet hunting 02-06-2018
David Gerard Better Genotyping for Polyploids 02-01-2018
Ying Zhu High Dimensional Inference: Semiparametrics, Counterfactuals, and Heterogeneity 01-26-2018
Soudeep Deb Spatio-temporal models with space-time interaction and their applications to air pollution data 01-25-2015
Chih-Li Sung Big Data in Computer Experiments 01-23-2018
Qi Long Knowledge-Guided Scalable Bayesian Variable Selection for High-dimensional Data 12-05-2017
Juan Du Variogram Models on Spheres 11-21-2017
Anirban Bhattacharya Statistical Optimality of Variational Bayes 11-14-2017
Yuying Xie Estimation of Graphical Models with Biomedical Applications 11-07-2017
Marianne Huebner Age-associated power decline and gender differences in Olympic weightlifting 10-31-2017
Jonathan Terhorst Inference of population history and natural selection from large samples of genomic data 10-24-2017
Arun Ross Statistically Speaking: Some Fundamental Challenges in Human Recognition Using Biometrics 10-10-2017
Peter Chien Some Statistical Aspects of Uncertainty Quantification 10-03-2017
Archil Gulisashvili Implied volatility skew in rough stochastic volatility models. Moderate deviation regime 09-26-2017
Matthew Reimherr Manifold Data Analysis with Applications to High-Resolution 3D Imaging 09-19-2017
Brian Caffo Fingerprinting With Repeated Resting State Functional MRI Data 09-12-2017
Kun Ho Kim Simultaneous Inference for the Partially Linear Model with a Multivariate Unknown Function when the Covariates are Measured with Errors 04-18-2017
Qi Zheng Censored Quantile Regression in High Dimensional Survival Data 04-11-2017
Philip Ernst Yule's “Nonsense Correlation” Solved! 04-04-2017
Kiseop Lee Informed Traders’ Hedging with News Arrivals 03-28-2017
Qidi Peng Estimation of the Pointwise Hölder Exponent of Hidden Multifractional Brownian Motion Using Wavelet Coefficients 03-14-2017
Peisong Han Empirical Likelihood Methods for Missing-data Analysis, Data Integration and More 02-28-2017
Zhengwu Zhang Metric-Based Registration and Analysis of Functional Data 02-23-2017
Yang Chen Delineating Protein Transportation Processes: Hierarchical Models for Single-Molecule Data 02-21-2017
Haolei Weng High Dimensional Bridge Regression: A Unified View 02-16-2017
Andrea Kaplan Model Matters with Restricted Boltzmann Machines 02-14-2017
Soutir Bandyopadhyay A General Frequency Domain Method for Assessing Spatial Covariance Structures 02-09-2017
Subhadeep Paul Community Detection in Multi-Layer Networks 02-07-2017
Mark Reimers Big Data in Neuroscience: Analysis Challenges for the Coming Decades 01-10-2017
Xiaofeng Shao Martingale Difference Divergence and Its Applications to Contemporary Statistics 12-06-2016
Anindya Bhadra Default Bayes and Prediction Problems with Global-Local Shrinkage Priors 11-29-2016
Hyun Min Kang Mixture Models for Sequence Contamination and Single Cell Transcriptomics 11-22-2016
Peter Buhlmann Hierarchical High-Dimensional Statistical Inference 11-15-2016
Andrey Sarantsev Competing Brownian Particles 11-08-2016
Xi Chen Statistical Inference for Model Parameters with Stochastic Gradient Descent 11-01-2016
Jennifer Kaplan Promoting Instructional Change Through Professional Development of Undergraduate Instructors 10-28-2016
Winfried Stute On The Information Hierarchy in Survival Models 10-27-2016
Winfried Stute Empirical Martingale Spaces with Applications 10-25-2016
Kjell Doksum Ensemble Subspace Methods for High Dimensional Data 10-07-2016
Martin Lindquist High-dimensional Multivariate Mediation with Application to Neuroimaging Data 10-04-2016
Frederi Viens Parameter Estimation of Stationary Gaussian Processes Using the Generalized Method of Moments 09-29-2016
Seunggeun (Shawn) Lee Asymptotic properties of principal component analysis and shrinkage-bias adjustment in high-dimensional data 09-20-2016
William Kleiber Some problems in spatial modeling: multivariate random fields and simulation 09-13-2016
Marianne Huebner A Contemporary Framework for Initial Data Analysis 09-06-2016
Mladen Kolar Inference in high-dimensional semi-parametric graphical models 04-12-2016
Narayana Balakrishna Verying Kernel Marginal Density Estimator for a Positive Time Series 04-05-2016
Jian Kang Scalar-on-Image Regression via Soft-Thresholded Gaussian Processes 03-29-2016
Vivekananda Roy Estimating standard errors for importance sampling estimators with multiple Markov chains 03-22-2016
Samiran Sinha Analysis of proportional odds models with censoring and errors-in-covariates 03-15-2016
Kevin He Covariance-insured Screening for Selecting Ultrahigh Dimensional Variables 03-01-2016
Rajib Paul Robust Estimation and Fitting of Reduced Rank Models to Large Spatial Datasets 02-23-2016
Xiang Zhou A Unified Framework for Variance Component Estimation with Summary Statistics in Genetic Assoc Studies 02-16-2016
Saonli Basu USAT: A Unified Score-based Association Test for Multiple Phenotype-Genotype Analysis 02-09-2016
Yanyuan Ma A Semiparametric Approach to Dimension Reduction 02-02-2016
Hyunkeun Cho Quantile Marginal Regression for Longitudinal Data with Dropouts 01-26-2016
Dr. Alexander Aue Predicting functional time series 12-01-2015
Dr. Bo Li Statistics in Paleoclimate Reconstruction 11-24-2015
Dr. Catherine Calder Regression-Based Covariance Functions for Nonstationary Spatial Modeling 11-17-2015
Dr. Yoonkyung Lee Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters 11-10-2015
Dr. Jan Hannig Generalized fiducial Inference: A Review 11-03-2015
Dr. Mi-Ok Kim Semiparametric Approach to a Random Effects Quantile Regression Model 10-27-2015
Dr. Yingying Fan Innovated Interaction Screening for High-Dimensional Nonlinear Classification 10-20-2015
Ping Ma Leveraging for big data regression 10-13-2015
Dr. Hui Zou Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS 10-06-2015
Dr. Bimal Sinha Exact Inference Based on Single Synthetic Data for Multivariate Normal and Univariate Linear Regression Normal Models 09-29-2015
Jun Li Robust estimation of isoform expression with RNA-Seq data 09-22-2015
Grace Hong A data-driven approach to conditional screening of high dimensional variables 09-15-2015
Magda Peligrad On the Spectral Theory of Random Matrices 09-08-2015
Danijel Grahovac Bounds on the support of the spectrum of singularities 05-28-2015
Christina Kendziorski Statistical methods for bulk and single-cell RNA-seq experiments 04-28-2015
Karl Rohe Design and estimation for respondent driven sampling 04-21-2015
Mark Reimers Big data comes to neuroscience: statistical methodology in optical neuro-imaging 04-14-2015
Ciprian Crainiceanu Not everybody, but some people move like you: Wearable computing in public health 04-07-2015
Srinivasa Varadhan Large Deviations for translation invariant functionals of Brownian Occupation times 04-02-2015
Jun Zhu Statistical Approaches to Regression Analysis of Spatial Data and Mapping of Ecological Processes 03-31-2015
Debashis Paul A robust version of Hotelling’s T2 test in high dimensions 03-24-2015
B. Rajeev Martingale Representation Theorem, Stochastic Derivatives and Adapted Derivatives 03-17-2015
Runze Li Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis 03-03-2015
Zinoviy Landsman A generalized risk measure for the problem of optimal portfolio selection and its explicit solution 02-26-2015
Piotr Kokoszka Some Application of Functional Data Analysis to Space Physics and Finance 02-24-2015
Robert Lund Stationary Count Time Series with Specified Marginal Distribution 02-19-2015
Xiaming Huo Fast Computing for Statistical Dependency 02-17-2015
Frederi Viens Parameter estimation for stochastic processes 02-12-2015
Hani Doss A Markov Chain Monte Carlo Approach to Empirical Bayes Inference and Bayesian Sensitivity Analysis via Empirical Processes 02-10-2015
Andrey Pylypenko Limits of Markov Processes with Irregular Behavior at a fixed point 01-27-2015
Jeffrey Wooldridge Finite Population Causal Standard Errors 01-20-2015
Wei Zheng Universally optimal designs for two interference models 01-13-2015
Sudheesh Kattumannil On Some testing problem related to age replacement model 12-02-2014
Yi Li Ultrahigh Dimensional Time Course Feature Selection 11-25-2014
Xuming He Model-Based Inference in Subgroup Analysis 11-18-2014
Montse Fuentes Multivariate Spatial Modeling of Conditional Dependence to Study Arsenic Contamination 11-11-2014
Doug Nychka Multi-resolution spatial methods for large data sets 11-04-2014
Aklilu Zeleke On a Strong Law of Large Numbers 10-30-2014
Natesh Pillai Some aspects of Bayesian inference in high demensional problems 10-28-2014
Len Stefanski Measurement Error and Variable Selection 10-21-2014
Jeff Douglas Some Statistical Issues in Cognitive Diagnosis and Sequential Detection of Learning 10-14-2014
Sun Young Hwang Inference for stochastic processes via estimating functions 10-07-2014
Dan Nettleton Using Quasi-Likelihood Analysis of RNS-Seq Data to Identify Differentially Expressed Genes 09-30-2014
Hui Jiang Statistical Modeling of RNA Sequencing Data 09-23-2014
Naveen Naidu Narisetty High Dimensional Variable Selection w Shrinking & Diffusing Priors 09-16-2014
Jan Beirlant Extreme Value Statistics for Truncated Pareto Type Distributions 09-09-2014
Lan Wang Quantile Regression Analysis of High-Dimensional Heterogeneous Data 09-02-2014
Jiashun Jin Spectral Clustering 08-28-2014
Long Nguyen An optimal transport based theory of hierarchical Bayesian inference 04-22-2014
Peter Hoff Statistical Methods for relational tensor data 04-15-2014
Hao Zhang Recent development &some open problems in spatial statistics 04-08-2014
Ambuj Tewari Online Learning: Prediction in a Game-Theoretic Framework 04-01-2014
Peter Song Regression Analysis of Networked Data 03-25-2014
Aylin Alin Robust BCa-JaB Method as a Diagnostic Tool for Linear Regression Models 03-18-2014
R.V. Ramamoorthi Bayesian Asymptotics in Misspecified Models 03-11-2014
Eric Slud Modeling Frame Deficiencies for Improved Calibration 02-25-2014
Dianne Cook Statistical Inference by Crowd-Sourcing 02-18-2014
Soutir Bandyopadhyay A Frequency Domain Empirical Likelihood Method for Irregularly Spaced Spatial Data 02-11-2014
David Banks Text Networks 02-04-2014
David Hunter Model-Based Clustering of Large Networks 01-28-2014
Chenxi Li The Proportional Subdistribution Hazards Model for Interval Censored Competing Risks Data 01-21-2014
Mark Iwen Approximation of Points on Low-dimensional Manifolds via Compressive Measurements 01-14-2014
Ping-Shou Zhong Some Hypothesis Testing Problems for High Dimensional Data under Sparsity 01-09-2014
Weixing Song Nonparametric Regression with Errors in Partial Variables 12-03-2013
Gustavo Didier Probabilistic and inferential aspects of self-similarity in the multivariate and multiparameter settings 11-26-2013
Shyamal Peddada Test for Multivariate Stochastic Order Among Ordered 11-19-2013
Dan Spitzner Bayesian testing and multiple-testing using neutral-data comparisons 11-12-2013
Yaniv Plan Noise, non-linearity, and low-dimensionality in high-dimensional inference 11-07-2013
Jing Qin Empirical likelihood, selection biased sampling, semiparametric generalized linear model: connections and applications 11-05-2013
Guang Cheng The Long March Towards Joint Asymptotics: My 1st Steps... 10-31-2013
Wei Pan Adjustment for Population Stratification in Genetic Association Analysis with Sequencing Data 10-29-2013
James Boyett Statistical History that is Very Relevant to Today’s Clinical Trials; especially with more “Data Miners,” Publication Bias and “Expert” Central Reviewers of Components of Clinical Trials 10-22-2013
Liang Peng Interval Estimation for Random Coefficient AR Model and Predictive Regressions 10-15-2013
Yufeng Liu Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genetics 10-08-2013
Domenico Marinucci Testing for Isotropy and Geometric Features of Needlets Excursion Sets 09-24-2013
Jana Jureckova Averaged Regression Quantiles 09-17-2013
Stephen Portnoy The Jackknife's Edge: Inference on Censored Regression Quantiles 09-10-2013
Chae Young Lim Estimation of Smoothness of a Stationary Gaussian Random Field 09-03-2013
Persi Diaconis Mathematics and Statistics for Large Networks 08-30-2013
Yaniv Plan Introduction to Compressed Sensing (PM) 08-27-2013
Yaniv Plan Introduction to Compressed Sensing (AM) 08-27-2013
Professor Arup Bose Consistency of Large Dimensional Sample Covariance Matrix Under Weak Dependence 05-28-2013
Kun Ho Kim Parametric Specification Tests for Non-linear Time Series Models 04-23-2013
Pengsheng Ji Optimality in High Dimensional Variable Selection 04-16-2013
Xiaotong Shen Personalized Information Filtering 04-09-2013
Song Wu Multi-loci Linkage Disequilibrium Mapping of Complex Traits 04-02-2013
Emiliano Valdez Multivariate Negative Binomial Models for Insurance Claim Counts 03-28-2013
Jiashun Jin CANCELED 03-26-2013
Soumen Lahiri A Penalized Empirical Likelihood Method in High Dimensions 03-19-2013
Joshua French Spatio-Temporal Exceedance Locations and Confidence Regions 03-12-2013
Ji Zhu Joint Estimation of Multiple Graphical Models 02-26-2013
Eric R. Ulm Analytic Solution for Ratchet Guaranteed Minimum Death Benefit Options Under a Variety of Mortality Laws 02-19-2013
Stephen Hsu Genetic Architecture of Intelligence 02-19-2013
Maxim Bichuch Price of a Contingent Claim Liability in a Market with Small Transaction Costs 02-14-2013
Fred Wright Some useful permutation methods you've probably never used 02-12-2013
Hyokyoung (Grace) Hong Quantile Approaches to Limited Response Variables 02-07-2013
Liang Hong A Note on the Cost of Hedging Variable Annuities 02-07-2013
Tianxiang Shi The Time to Ruin: Analysis of an Insurer's Solvency Risk 02-05-2013
Jiahan Li A Fast Algorithm for Detecting Gene-Gene Interactions in Genome-Wide Association Studie 02-05-2013
Xiaoying Han Dynamics of Infinite Dimensional Stochastic Differential Equations 01-31-2013
Jonathan Taylor Suprema of random fields with applications 01-29-2013
Heng Wang Copy Number Variation Detection Using Next Generation Sequencing Read Counts 01-24-2013
Wenning Feng Clustering and Variable Selection: Some Contributions to Spatial Regression 01-22-2013
Yuefeng Wu Hellinger Distance and Bayesian Non-Parametrics Hierarchical Models for Robust and Efficient Bayesian Inference 01-17-2013
Min Wang A New Bayesian Strength of Evidence for Testing a Point Null Hypotheses Using Divergence Measures 01-15-2013
Liang Zhang PACKING DIMENSION OF IMAGES OF ADDITIVE LEVY PROCESSES 01-15-2013
Xizhen Cai Variable Selction for the Porportional Odds Model 01-10-2013
Heng Wang Testing a Union-of-Cones Null Hypothesis for the Identification of Heterosis 01-08-2013
Mikyoung Jun Nonstationary cross-covariance models for multivariate processes on a globe 12-04-2012
Michael Daniels A Nonparametric Prior for Simultaneous Covariance Estimation in Longitudinal Data 11-27-2012
Karthik Bharat Asymptotics of Clustering Criteria for Smooth Distributions 11-20-2012
Xiaohui Chen Covariance and Precision Matrix Estimation for High-Dimensional Time Series 11-13-2012
David Findley Complementary Properties of an F-Test and a Spectral Diagnostic for Detecting Seasonality in Unadjusted and Seasonally Adjusted Time Series 11-06-2012
Fred Wright Useful resampling methods you've probably never used 10-30-2012
Dr. Song Song Large Spatial Covariance Matrix Estimation for High Dimensional Time Series with Application to Semiprarmetric Model Construction 10-23-2012
Alexandra Piryatinska Change-point detection for non-stationary time series via complexity of functions and its applications to EEG data. 10-16-2012
Ryan Martin Plausibility functions and exact frequentist inference 10-09-2012
Jingcheng Liu Rare-event Analysis and Simulations for Gaussian and Its Related Processes 10-02-2012
Rebecca Steorts Balancing the books by benchmarking: What to do when small area estimates just don't add up 09-25-2012
Rob Tempelman Beyond the Generalized Linear Mixed Model: a Hierarchical Bayesian Perspective 09-18-2012
Peter J. Bickel Surprising Phenomena in Inference for iid p Dimensional Data 09-11-2012
Professor Peter J. Bickel Some Examples of Statistical Inference in Genomics 09-06-2012
Peter J. Bickel Topics in Nonparametric Inference for Unlabeled Network Models 09-04-2012
Arup Bose Patterned Random Matrices 05-29-2012
Estate V. Khmaladze On distribution free tests for discrete distributions and an extension to continuous time 05-15-2012
Nathaniel Tymes, Jr. Are online courses the right choice for you? 04-26-2012
Subhadeep Mukhopadhyay LP-comoments: Theory, Methodology and Interpretation 04-17-2012
Shyamal Peddada Identification of a core set of signature cell cycle genes whose relative order of time to peak expression is conserved across species 04-12-2012
Liza Levina Consistency of community detection and probability models in networks 04-10-2012
Dr. Terry Therneau Mitochondra, Aging, and Sequencing Errors 04-03-2012
Qing Lu Statistical Approaches for High-Dimensional Family-Based Genetic Association Studies 03-27-2012
Vladimir Koltchinskii Complexity Penalization in Low Rank Matrix Regression 03-20-2012
Juyong Park A Robust Test for Detecting a Signal in a High Dimensional Sparse Normal Vector 03-13-2012
P. K. Pathak ADVENTURES IN STATISTICS AND PROBABILITY, PART I 02-28-2012
Xiaojing Wang Bayesian Analysis of Dynamic Item Response Models 02-23-2012
Stephen Stanhope Mixed Model/Score Test Based Methods for Association Studies of Binary Traits with Risk Covariates in Populations of Related Individuals 02-21-2012
Lifeng Wang Functional Least Angle Regression for High Dimensional Additive Models 02-14-2012
Qing Wang Topics in U-Statistics and Estimation 02-09-2012
Jessi Cisewski Generalized Fiducial Inference for Linear Mixed Models 02-02-2012
Alexander Sakhanenko Generalizations of KMT Approximation for Sequences of Partial Sums 01-24-2012
Kun Ho Kim Inference of the Semi-Parametric Partial Linear Model 01-17-2012
Marianne Huebner Lymph node ratio or estimating the probability of understaging in rectal and breast cancer 01-10-2012
Guanqun Cao Spline Confidence Envelopes for Covariance Function in Dense Functional Longitudinal Data 11-29-2011
Wei Biao Wu Random Matrix Theory and Covariance Matrix Estimation 11-22-2011
Alexander Lindner Strictly Stationary ARMA Processes 11-15-2011
Dongchu Sun Bayesian Analysis of Variance 11-08-2011
Jung-Ying Tzeng Detecting and Comprehending Marker-Set Association for Common and Rare Variants 11-01-2011
Raoul LePage A New Sampling Based Approach to Multiple Linear Regression 10-25-2011
Vanja Dukic Tracking Flu Epidemics - Google Flu Trends and Particle Learning Algorithms 10-18-2011
Owen Carmichael Diffusion MRI & Resting State Functional MRI: Two Brain Imaging Modalities That Need Statistical Help 10-11-2011
Dennis Gilliland Lower Estimates for Recovery of Overcharges to Medicare 09-27-2011
Erik Segur Distributed Computing 09-20-2011
Renee Schilling Path Properties for Levy Type Processes 09-15-2011
Peter Straka Microscopic Models for Anomalous Diffusion with Reactions 09-06-2011
Michael L. Stein When does the screening effect hold? 09-01-2011
Donatas Surgailis A Two-Sample Test for Comparison of Long Memory Parameters 04-26-2011
N. Leonenko Fractional Elliptic, Hyperbolic and Parabolic Random Fields 04-21-2011
Xihong Lin Statistical Methods for Rare Variant Association Testing for Sequencing Data 04-19-2011
David Ruppert Semiparametric Regression, Penalized Splines, and Mixed Models 04-14-2011
Davar Khoshnevisan On the Chaotic Character of Some Parabolic Stochastic PDEs 04-12-2011
Philippe Barbe Non-Stationary Fractional Processes 04-07-2011
Veronica Berrocal Space-Time Data Fusion Under Error in Computer Model Output: An Application to Modeling Air Quality 04-05-2011
Peter Hall Modelling the Variability of Rankings 03-29-2011
Peter Hall Clustering High-Dimensional Data Using Evidence of Multimodality 03-24-2011
Peter Hall Contemporary Frontiers in Statistics 03-22-2011
Tenko Raykov Modeling Time to Event via Survival Analysis Using Latent Predictors with Multiple Indicators: Does Depression Warn of an Impending Stroke? 03-01-2011
Alla Sikorskii The Student Subordinator Model with Dependence for Risky Asset Returns 02-22-2011
Ping-Shou Zhong Tests for High Dimensional Regression Coefficients with Factorial Designs 02-17-2011
Ci-Ren Jiang Covariate Adjusted Functional Principal Component Analysis 02-15-2011
Xu Han False Discovery Control Under Arbitrary Dependence 02-10-2011
Qunhua Li Measuring Reproducibility of High-Throughput Biological Experiments 02-08-2011
Beatrix Jones Challenges in Gaussian Graphical Models 02-01-2011
David S. Matteson Forecasting Emergency Medical Service Call Arrival Rates 01-27-2011
Sungkyu Jung Statistical Analysis of Data on Curved Manifolds 01-25-2011
George Michailidis Joint Estimation of Multiple Graphical Models 01-20-2011
Shaoyu Li Gene-Centric Gene-Gene Interactions: A Model-Based Kernel Machine Method 01-11-2011
A. V. Chechkin A Few "Paradoxes" of Levy Flights from a Physicist's Point of View 12-14-2010
Dapeng Zhan A Stochastic Coupling Technique in the Study of SLE 12-07-2010
Zbigniew J. Jurek The Random Integral Representation Conjecture 11-30-2010
Han Xiao On Sample Autocovariances of Stationary Processes 11-23-2010
Wexing Song Distribution-Free Test in Tobit Mean Regression Model 11-18-2010
Don Edwards Closed Sequential and Multistage Inference with Binary Response 11-16-2010
Shujia Ma A Simultaneous Confidence Band for Sparse Longitudinal Regression 11-11-2010
Shlomo Levental Functional Ito Formula 11-09-2010
Sun Jiayang Modern Statistical Process Control: Wonder of Tube Formulae and Covariance Estimation 11-02-2010
Boris Baeumer Approximating Tempered Operator Stable Random Variables 10-28-2010
Susan Murphy Inference for Dynamic Treatment Regimes 10-26-2010
Jennifer Kaplan Lexical Ambiguity in Statistics: The Cases of Random and Spread 10-12-2010
Anita Behme Properties of Stationary Solutions of the SDE $dV_t=V_{t-}dU_t +dL_t$ 10-05-2010
Anton Schick An Empirical Likelihood Approach to Goodness of Fit Testing 09-28-2010
Parthanil Roy Ergodic Properties of Stable Random Fields 09-21-2010
Chae Young Lim Modeling Point Processes with Spatially Dependent Marks: A Case Study in Fingerprint Analysis 09-14-2010
Lifeng Wang Boosting for High-Dimensional Nonparametric Additive Models 09-07-2010
Hannu Oja On Multivariate Location, Scatter, Skewness, and Kurtosis, and the Invariant Coordinate System (ICS) 05-18-2010
Stefan Tappe Term Structure Models Driven by Wiener Processes and Poisson Measures: Existence and Positivity 05-11-2010
Tathagata Banerjee Testing Equality of Means for Paired Data When the Labels are Unknown 04-29-2010
Wolfgang Polonik Testing for Modality, Residual Empirical Process and Weighted Sums for Time Varying Processes 04-27-2010
David Nualart Central Limit Theorems for Functionals of Gaussian Processes and Applications 04-20-2010
Malay Ghosh Benchmarked Small Area Estimators 04-13-2010
Jan Beirlant Reduced Bias Estimators in Joint Tail Modeling 04-08-2010
Naisyn Wang Functional Latent Features Models 04-06-2010
Professor N. N. Leonenko Series Expansions for the First Passage Distribution of Pearson-Kolmogorov Jump Diffusions 04-01-2010
Kun Ho Kim Time-Varying Risk Aversion 03-30-2010
Raoul LePage Randomization Transfer 03-23-2010
Marc Hallin Multivariate Quantiles and Multiple-Output Regression Quantiles: From L1 Optimization to Halfspace Depth 03-18-2010
Gennady Samorodnitsky Large Deviations for Point Processes Based On Stationary Sequences with Heavy Tails 03-16-2010
Lexin Li Dimension Reduction by Groups 03-02-2010
Ahmad Reza Soltani Truncated Stable Random Variables: Characterization and Simulation 02-23-2010
Alla Sikorskii Variance Gamma and Normal Inverse Gaussian Risky Asset Models with Dependence through Fractal Activity Time 02-16-2010
Jeffrey Racine Constrained Nonparametric Kernel Regression: Estimation and Inference 02-09-2010
Yuehua Cui A Statistical Variance Components Framework for Mappng Imprinted Quantitative Trait Loci Underlying Endosperm Traits in Flowering Plants 02-02-2010
Xia Chen Intersections of Random Walks: Large Deviations 01-19-2010
Linglong Kong Multivariate Quantile Regression: A Directional Approach 01-12-2010
Qiongxia Song Oracally Efficient Spline Smoothing of Nonlinear Additive Augogression Models with Simultaneous Confidence Band 12-08-2009
Roderick Little The Analysis of Data Involving Assays Subject to Measurement Error 12-01-2009
Lifeng Wang Boosting for High-Dimensional Linear Models with Grouped Variables 11-24-2009
Ton Dieker Interlacings and the Interchange Process on Weighted Graphs 11-17-2009
Fang Yao Functional Mixture Regression 11-10-2009
Dennis Gilliland and Vince Melfi Quantitative Literacy at Michigan State University 11-03-2009
Shailaja Deshmukh Strong Completeness and its Applications to Random Thinning of Random Processes 10-27-2009
Wenbo V. Li Small Value Phenomena in Probability and Statistics 10-20-2009
Sidney Resnick Modeling Data Network Sessions and the Conditional Extreme Value Model 10-13-2009
Sastry G. Pantula Unit Root Tests -Thirty Years and Ticking!!! 10-08-2009
Milan Merkle Jensen's Inequality for Multivariate Medians 10-06-2009
Mark M. Meerschaert Space-time Duality for Fractional Diffusion 09-29-2009
Vicky Fasen Extremes of Autoregressive Threshold Processes 09-22-2009
Xiao-Li Meng To Center or Not to Center: That is Not the Question - An Ancillarity-Sufficiency Interrweaving Strategy (ASIS) for Boosting MCMC Efficiency 09-18-2009
Saurabh Ghosh Model-Free Linkage and Association Mapping of Complex Traits Using Quantitative Endophenotypes 09-15-2009
Tailen Hsing Deciding the Dimension of Effective Reduction Space for Functional and High-Dimensional Data 09-08-2009
Tatyana Krivobokova Some Asymptotic Results On Penalized Spline Smoothing 08-11-2009