Showing 1 - 10 of 1,093
Research into time series models of changing variance and covariance, which is often called volatility model, has exploded in the last 10 years. Financial series are characterized by periods of large volatility followed by periods of relative quietness. This type of clustering led to the idea...
Persistent link: https://www.econbiz.de/10011050565
This paper proposes new dynamic component models of realized covariance (RCOV) matrices based on recent work in time-varying Wishart distributions. The specifications are linked to returns for a joint multivariate model of returns and covariance dynamics that is both easy to estimate and...
Persistent link: https://www.econbiz.de/10008597126
This paper proposes a new dynamic model of realized covariance (RCOV) matrices based on recent work in time-varying Wishart distributions. The specifications can be linked to returns for a joint multivariate model of returns and covariance dynamics that is both easy to estimate and forecast....
Persistent link: https://www.econbiz.de/10008549336
This paper presents the R package MitISEM, which provides an automatic and flexible method to approximate a non-elliptical target density using adaptive mixtures of Student-t densities, where only a kernel of the target density is required. The approximation can be used as a candidate density in...
Persistent link: https://www.econbiz.de/10011255807
We complete the development of a testing ground for axioms of discrete stochastic choice. Our contribution here is to develop new posterior simulation methods for Bayesian inference, suitable for a class of prior distributions introduced by McCausland and Marley (2013). These prior distributions...
Persistent link: https://www.econbiz.de/10010687592
Two connected extensions of the Fay–Herriot small area level model that are of practical and theoretical interest are proposed. The first extension allows for the sampling error to be non-symmetrically distributed. This is important for cases in which the sample sizes in the areas are not...
Persistent link: https://www.econbiz.de/10010871379
Abstract: In this paper, we review classical and advanced methodologies for analysing within-subject functional Magnetic Resonance Imaging (fMRI) data. Such data are usually acquired during sensory or cognitive experiments that aims at stimulating the subject in the scanner and eliciting evoked...
Persistent link: https://www.econbiz.de/10010707990
require integrating out a random effect; this is achieved via MCMC but would otherwise be numerically challenging. The methods …
Persistent link: https://www.econbiz.de/10010994295
which are members of the celebrated Pearson’s system. Efficient MCMC procedures are proposed in the context of likelihood …
Persistent link: https://www.econbiz.de/10011041585
Markov Chain Monte Carlo (MCMC) techniques. Infusing the model with prior information allows us to shrink the parameter space …
Persistent link: https://www.econbiz.de/10011185406