Showing 1–20 of 41 results
/ Date/ Name
Mar 31, 2019Nonparametric Matrix Response Regression with Application to Brain Imaging Data AnalysisSep 24, 2018Matrix Linear Discriminant AnalysisMar 20, 2024A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy TrialMay 20, 2022Multidimensional heterogeneity learning for count value tensor data with applications to field goal attempt analysis of NBA playersApr 19, 2012MCMC-free adaptive Bayesian procedures using random series priorMar 3, 2014Adaptive Bayesian procedures using random series priorsMar 11, 2014Adaptive Bayesian density regression for high-dimensional dataSep 29, 2011Adaptive Bayesian multivariate density estimation with Dirichlet mixturesOct 22, 2017Elliptical modeling and pattern analysis for perturbation models and classficationDec 26, 2020Graph signal denoising using $t$-shrinkage priorsDec 18, 2020Identifying latent groups in spatial panel data using a Markov random field constrained product partition modelSep 26, 2023Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single CameraOct 24, 2016Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field PotentialsDec 11, 2017Empirical priors and posterior concentration in a piecewise polynomial sequence modelJun 13, 2025Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal ProcessNov 9, 2025SportR: A Benchmark for Multimodal Large Language Model Reasoning in SportsOct 16, 2020Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approachAug 6, 2018Regularized matrix data clustering and its application to image analysisOct 24, 2019Finite Mixtures of ERGMs for Modeling Ensembles of NetworksFeb 12, 2023Bayesian Methods in Tensor Analysis