print.fsvdraws

Object of class <code>'fsvdraws'</code>, usually resulting from a call
of <code><a rd-options="" href="/link/fsvsample?package=factorstochvol&version=0.8.1" data-mini-rdoc="factorstochvol::fsvsample">fsvsample</a></code>.

Markov chain Monte Carlo (MCMC) sampler for fully Bayesian
estimation of latent factor stochastic volatility models.
Sparsity can be achieved through the usage of Normal-Gamma priors
on the factor loading matrix.

Gregor Kastner

factorstochvol

Bayesian Estimation of (Sparse) Latent Factor Stochastic
Volatility Models

print.fsvdraws function

Object of class <code>'fsvdraws'</code>, usually resulting from a call
of <code><a rd-options='' href='fsvsample'>fsvsample</a></code>.

print.fsvdraws: Pretty printing of an fsvsdraws object

Description

Usage

Arguments

Value