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>.
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curl https://depscope.dev/api/check/conda/r-densestbayesFirst published · 2022-05-15 09:52:12.051000+00:00
Last updated · 2025-12-22 00:19:00.813000+00:00