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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  11 months and 8 days ago 345 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r43h65498fb_0.conda  11 months and 8 days ago 243 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r44h65498fb_0.conda  11 months and 8 days ago 239 main
conda 2.2 MB | win-64/r-stochvol-3.2.5-r43h3dc9324_0.conda  11 months and 8 days ago 328 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r43hb79369c_0.conda  11 months and 8 days ago 1019 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r44hb79369c_0.conda  11 months and 8 days ago 1039 main

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