Kernel Density Estimation with a Markov Chain Monte Carlo Sample. Provides methods for selecting the optimal bandwidth in kernel density estimation for dependent samples, such as those generated by Markov chain Monte Carlo (MCMC). Implements a modified biased cross-validation (mBCV) approach that accounts for sample dependence, improving the accuracy of estimated
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curl https://depscope.dev/api/check/cran/KDEmcmcFirst published · 2025-08-19 04:53:30
Last updated · 2025-08-19T03:50:02+00:00