## citHeader("To cite package stochvol in publications use:")

## R >= 2.8.0 passes package metadata to citation().
if(!exists("meta") || is.null(meta)) meta <- packageDescription("stochvol")
year <- sub("-.*", "", meta$Packaged)
note <- sprintf("R package version %s", meta$Version)

#bibentry(bibtype = "article",
#  header       = "To cite stochvol in publications use:",
#  title        = "Dealing with Stochastic Volatility in Time Series Using the {R} Package {stochvol}",
#  author       = person(given = "Gregor",
#                        family = "Kastner",
#                        email = "gregor.kastner@wu.ac.at"),
#  journal      = "Journal of Statistical Software",
#  year         = "2016",
#  volume       = "69",
#  number       = "5",
#  pages        = "1--30",
#  doi          = "10.18637/jss.v069.i05",
#  textVersion  =
#  paste("Kastner, Gregor (2016).",
#        "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol.",
#        "Journal of Statistical Software, 69(5), 1-30.",
#        "https://doi.org/10.18637/jss.v069.i05")
#)

bibentry(bibtype = "Article",
  title        = "Modeling Univariate and Multivariate Stochastic Volatility in {R} with {stochvol} and {factorstochvol}",
  author       = c(person(given = "Darjus",
                          family = "Hosszejni",
                          email = "darjus.hosszejni@wu.ac.at"),
                   person(given = "Gregor",
                          family = "Kastner",
                          email = "gregor.kastner@aau.at")),
  journal      = "Journal of Statistical Software",
  year         = "2021",
  volume       = "100",
  number       = "12",
  pages        = "1--34",
  doi          = "10.18637/jss.v100.i12",
  header       = "To cite stochvol/factorstochvol in publications use:"
)

bibentry(bibtype = "article",
  header = "To refer to the sampling methodology used by the sampler without asymmetry (leverage) please cite:",
  title = "Ancillarity-Sufficiency Interweaving Strategy ({ASIS}) for Boosting {MCMC} Estimation of Stochastic Volatility Models",
  author = personList(as.person("Gregor Kastner"),
                      as.person("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",
  textVersion = "Kastner, Gregor and Frühwirth-Schnatter, Sylvia (2014). Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models. Computational Statistics & Data Analysis 76, 408-423. https://doi.org/10.1016/j.csda.2013.01.002"
)

bibentry(bibtype = "inproceedings",
  header = "To refer to the sampling methodology used by the sampler that allows for asymmetry (leverage) please cite:",
  title = "Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage",
  author = personList(
            person(given = "Darjus",
                   family = "Hosszejni",
                   email = "darjus.hosszejni@wu.ac.at"),
            person(given = "Gregor",
                   family = "Kastner",
                   email = "gregor.kastner@aau.at")),
  booktitle = "Bayesian Statistics and New Generations. BAYSM 2018",
  year = "2019",
  series = "Springer Proceedings in Mathematics \\& Statistics",
  volume = "296",
  pages = "75--83",
  editor = personList(as.person("Raffaele Argiento"),
                      as.person("Daniele Durante"),
                      as.person("Sara Wade")),
  doi = "10.1007/978-3-030-30611-3_8",
  publisher = "Springer",
  address = "Cham",
  textVersion = "Hosszejni, Darjus and Kastner, Gregor (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. Springer Proceedings in Mathematics & Statistics, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-30611-3_8"
)

