We develop a Bayesian approach for parsimoniously estimating the correlation structure of the errors in a multivariate stochastic volatility model. Since the number of parameters in the joint correlation matrix of the return and volatility errors is potentially very large, we impose a prior that...

A Gaussian copula regression model gives a tractable way of handling a multivariate regression when some of the marginal distributions are non-Gaussian. Our paper presents a general Bayesian approach for estimating a Gaussian copula model that can handle any combination of discrete and...

Growing interest in the measurement of subjective well-being (SWB) has also been accompanied by scientific debate on the optimal method for measuring SWB. The momentary perspective, which is represented by the ecological momentary assessment (EMA) and day reconstruction method (DRM), emphasizes...