The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

To cite stochvol in publications use:

Hosszejni D, Kastner G (2021). “Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol.” Journal of Statistical Software, 100(12), 1–34. doi:10.18637/jss.v100.i12.

The original version of stochvol is documented here:

Kastner G (2016). “Dealing with Stochastic Volatility in Time Series Using the R Package stochvol.” Journal of Statistical Software, 69(5), 1–30. doi:10.18637/jss.v069.i05.

To refer to the sampling methodology used by the sampler without asymmetry (leverage) please cite:

Kastner G, Frühwirth-Schnatter S (2014). “Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models.” Computational Statistics & Data Analysis, 76, 408–423. doi:10.1016/j.csda.2013.01.002.

To refer to the sampling methodology used by the sampler that allows for asymmetry (leverage) please cite:

Hosszejni D, Kastner G (2019). “Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage.” In Argiento R, Durante D, Wade S (eds.), Bayesian Statistics and New Generations. BAYSM 2018, volume 296 series Springer Proceedings in Mathematics \& Statistics, 75–83. doi:10.1007/978-3-030-30611-3_8.

Corresponding BibTeX entries:

  @Article{,
    title = {Modeling Univariate and Multivariate Stochastic Volatility
      in {R} with {stochvol} and {factorstochvol}},
    author = {Darjus Hosszejni and Gregor Kastner},
    journal = {Journal of Statistical Software},
    year = {2021},
    volume = {100},
    number = {12},
    pages = {1--34},
    doi = {10.18637/jss.v100.i12},
  }
  @Article{,
    title = {Dealing with Stochastic Volatility in Time Series Using
      the {R} Package {stochvol}},
    author = {Gregor Kastner},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {69},
    number = {5},
    pages = {1--30},
    doi = {10.18637/jss.v069.i05},
  }
  @Article{,
    title = {Ancillarity-Sufficiency Interweaving Strategy ({ASIS}) for
      Boosting {MCMC} Estimation of Stochastic Volatility Models},
    author = {Gregor Kastner and Sylvia Fr\"{u}hwirth-Schnatter},
    journal = {Computational Statistics \& Data Analysis},
    year = {2014},
    volume = {76},
    pages = {408--423},
    doi = {10.1016/j.csda.2013.01.002},
  }
  @InProceedings{,
    title = {Approaches Toward the Bayesian Estimation of the
      Stochastic Volatility Model with Leverage},
    author = {Darjus Hosszejni and Gregor Kastner},
    booktitle = {Bayesian Statistics and New Generations. BAYSM 2018},
    year = {2019},
    series = {Springer Proceedings in Mathematics \& Statistics},
    volume = {296},
    pages = {75--83},
    editor = {Raffaele Argiento and Daniele Durante and Sara Wade},
    doi = {10.1007/978-3-030-30611-3_8},
    publisher = {Springer},
    address = {Cham},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.