Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.
Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison
3 Pith papers cite this work. Polarity classification is still indexing.
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Predictively consistent priors let complex Bayesian models match or beat the out-of-sample performance of selected simpler models across linear, logistic, and nonlinear examples without explicit selection.
smoothbp is an R package implementing fast Bayesian hierarchical piecewise regression with logistic smoothing, random effects, and spike-and-slab breakpoint selection via a custom Metropolis-within-Gibbs sampler in Rust.
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smoothbp: Fast Bayesian Hierarchical Piecewise Regression with Smoothed Transitions and Spike-and-Slab Model Selection
smoothbp is an R package implementing fast Bayesian hierarchical piecewise regression with logistic smoothing, random effects, and spike-and-slab breakpoint selection via a custom Metropolis-within-Gibbs sampler in Rust.