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Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models with and without asymmetry (leverage) via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002> and Hosszejni and Kastner (2019) <doi:10.1007/978-3-030-30611-3_8>; the most common use cases are described in Hosszejni and Kastner (2021) <doi:10.18637/jss.v100.i12> and Kastner (2016) <doi:10.18637/jss.v069.i05> and the package examples.

copied from cf-post-staging / r-stochvol
Type Size Name Uploaded Downloads Labels
conda 2.2 MB | win-64/r-stochvol-3.2.5-r44h3dc9324_0.conda  9 months and 23 days ago 339 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r43h65498fb_0.conda  9 months and 23 days ago 234 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r44h65498fb_0.conda  9 months and 23 days ago 231 main
conda 2.2 MB | win-64/r-stochvol-3.2.5-r43h3dc9324_0.conda  9 months and 23 days ago 322 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r43hb79369c_0.conda  9 months and 23 days ago 926 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r44hb79369c_0.conda  9 months and 23 days ago 941 main

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