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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  10 months and 24 days ago 344 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r43h65498fb_0.conda  10 months and 24 days ago 238 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r44h65498fb_0.conda  10 months and 24 days ago 235 main
conda 2.2 MB | win-64/r-stochvol-3.2.5-r43h3dc9324_0.conda  10 months and 24 days ago 327 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r43hb79369c_0.conda  10 months and 24 days ago 989 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r44hb79369c_0.conda  10 months and 24 days ago 999 main

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