r-factorstochvol 1.1.1
Channel: guix-cran
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Description:
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>.
Total results: 1