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Stochastic Newton Sampler: The R Package sns4 years ago
Introduction | Theory | Software implementation and features | ​ | Performance benchmarking | Discussion | Setup | Invariance of Hessian definiteness under linear transformations | SNS mixing and number of observations
Matching and Linear Regression4 years ago
Introduction | Framework | Applications | Discussion
Bayesian Discretised Beta Regression4 years ago
Introduction | The DBR Mathematical Framework | Using the DBR Package | Discussion | Setup
Expander Framework for Generating High-Dimensional GLM Gradient and Hessian from Low-Dimensional Base Distributions: R Package MfUSampler6 years ago
Introduction | Theory | Implementation | ​ | Summary
Multivariate-from-Univariate MCMC Sampler: R Package MfUSampler11 years ago
Introduction | Theory and Implementation of MfUSampler | Using MfUSampler | Performance improvement | Summary | Setup | Proof of extended Gibbs sampling lemma