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 . Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix .