densEstBayesVignette

The vignette of the densEstBayes package is displayed using the default PDF file browser. It provides a detailed description of use of the package for Bayesian density estimation.

Bayesian density estimates for univariate continuous random samples are provided using the Bayesian inference engine paradigm. The engine options are: Hamiltonian Monte Carlo, the no U-turn sampler, semiparametric mean field variational Bayes and slice sampling. The methodology is described in Wand and Yu (2020) <arXiv:2009.06182>.

Matt Wand

densEstBayes

Density Estimation via Bayesian Inference Engines

Matt P. Wand

densEstBayesVignette function

Matt P. Wand <a href="/link/matt.wand%40uts.edu.au?package=densEstBayes&version=1.0-2.2" data-mini-rdoc="densEstBayes::matt.wand@uts.edu.au">matt.wand@uts.edu.au</a>

Author

Display the package's vignette. — densEstBayesVignette

Matt P. Wand <a href='mailto:matt.wand@uts.edu.au'>matt.wand@uts.edu.au</a>

densEstBayesVignette: Display the package's vignette.

Description

Usage

Arguments

Author

Examples