Showing 1–20 of 26 results
/ Date/ Name
Jan 12, 2023Elucidating Inferential Models with the Cauchy DistributionJan 11, 2023Partial Conditioning for Inference of Many-Normal-Means with Hölder ConstraintsJul 11, 2022Another Look at the Problem of Many-Normal-MeansJan 12, 2023On Existence Theorems for Conditional Inferential ModelsSep 16, 2022Circularly Symmetric Tests of Goodness-of-FitSep 16, 2022Reweighted and Circularized Anderson-Darling Tests of Goodness-of-FitDec 27, 2024Towards Strong AI: Transformational Beliefs and Scientific CreativityJun 20, 2018An Asynchronous Distributed Expectation Maximization Algorithm For Massive Data: The DEM AlgorithmApr 13, 2011Parameter Expansion and Efficient InferenceJul 30, 2014Frameworks for prior-free posterior probabilistic inferenceJun 13, 2013Marginal inferential models: prior-free probabilistic inference on interest parametersNov 3, 2010Dempster--Shafer Theory and Statistical Inference with Weak BeliefsDec 9, 2008Estimating limits from Poisson counting data using Dempster--Shafer analysisAug 29, 2024Finite Sample Valid Inference via Calibrated BootstrapFeb 7, 2013Simulating from a gamma distribution with small shape parameterJun 30, 2012Optimal inferential models for a Poisson meanDec 16, 2014Valid uncertainty quantification about the model in a linear regression settingApr 4, 2010The Dynamic ECME AlgorithmNov 7, 2012Conditional inferential models: combining information for prior-free probabilistic inferenceJun 18, 2012Inferential models: A framework for prior-free posterior probabilistic inference