gregorkastner/factorstochvol: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models

Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("gregorkastner/factorstochvol")
gregorkastner/factorstochvol documentation built on Dec. 11, 2023, 9:17 p.m.