Showing 1–20 of 197 results
/ Date/ Name
Jun 30, 2012Optimal inferential models for a Poisson meanSep 29, 2012On convergence rates of Bayesian predictive densities and posterior distributionsMar 15, 2023Fiducial inference viewed through a possibility-theoretic inferential model lensDec 22, 2023Fisher's underworld and the behavioral-statistical reliability balance in scientific inferenceJun 30, 2014Empirical Bayes posterior concentration in sparse high-dimensional linear modelsMar 3, 2019Empirical priors for prediction in sparse high-dimensional linear regressionJun 19, 2019Model-free posterior inference on the area under the receiver operating characteristic curveSep 14, 2021Gibbs posterior inference on a Levy density under discrete samplingJan 8, 2021Asymptotically optimal inference in sparse sequence models with a simple data-dependent measureMar 3, 2021Stochastic optimization for numerical evaluation of imprecise probabilitiesSep 8, 2017Applications of an algorithm for solving Fredholm equations of the first kindJun 26, 2017Satellite conjunction analysis and the false confidence theoremJun 27, 2016Robust and rate-optimal Gibbs posterior inference on the boundary of a noisy imageApr 27, 2013Asymptotically minimax empirical Bayes estimation of a sparse normal mean vectorDec 16, 2014Valid uncertainty quantification about the model in a linear regression settingOct 2, 2024Regularized e-processes: anytime valid inference with knowledge-based efficiency gainsMay 13, 2019Variational approximations using Fisher divergenceJun 12, 2019Permutation-based uncertainty quantification about a mixing distributionDec 5, 2018Empirical priors and coverage of posterior credible sets in a sparse normal mean modelAug 16, 2020Inferential models and possibility measures