Showing 21–40 of 74 results
/ Date/ Name
Oct 14, 2019Gaussian Processes with Errors in Variables: Theory and ComputationMay 18, 2016Sub-optimality of some continuous shrinkage priorsApr 19, 2023Blocked Gibbs sampler for hierarchical Dirichlet processesAug 16, 2017Frequentist coverage and sup-norm convergence rate in Gaussian process regressionDec 9, 2025Stationary Point Constrained Inference via DiffeomorphismsNov 2, 2018Bayesian Hierarchical Modeling on Covariance Valued DataJul 9, 2016Sparse additive Gaussian process with soft interactionsFeb 25, 2016Probabilistic community detection with unknown number of communitiesApr 4, 2018Shape-Constrained Univariate Density EstimationJul 19, 2023Memory Efficient And Minimax Distribution Estimation Under Wasserstein Distance Using Bayesian HistogramsSep 29, 2022Structured Optimal Variational Inference for Dynamic Latent Space ModelsSep 22, 2025On Quantification of Borrowing of Information in Hierarchical Bayesian ModelsJul 11, 2025A monotone single index model for spatially referenced multistate current status dataOct 27, 2023Robust Bayesian Inference on Riemannian SubmanifoldMay 27, 2023Fair Clustering via Hierarchical Fair-Dirichlet ProcessApr 25, 2014Bayesian Semiparametric Multivariate Density DeconvolutionOct 19, 2020Statistical Guarantees and Algorithmic Convergence Issues of Variational BoostingMar 15, 2021Adaptive posterior convergence in sparse high dimensional clipped generalized linear modelsSep 30, 2022Factorized Fusion Shrinkage for Dynamic Relational DataSep 25, 2025An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data