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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-staging / r-stochvol
Type Size Name Uploaded Downloads Labels
conda 2.2 MB | win-64/r-stochvol-3.2.5-r44h3dc9324_0.conda  5 months and 19 days ago 319 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r43h65498fb_0.conda  5 months and 19 days ago 220 main
conda 2.2 MB | osx-64/r-stochvol-3.2.5-r44h65498fb_0.conda  5 months and 19 days ago 217 main
conda 2.2 MB | win-64/r-stochvol-3.2.5-r43h3dc9324_0.conda  5 months and 19 days ago 303 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r43hb79369c_0.conda  5 months and 19 days ago 648 main
conda 2.2 MB | linux-64/r-stochvol-3.2.5-r44hb79369c_0.conda  5 months and 19 days ago 640 main

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