Showing 1 - 10 of 701
Persistent link: https://www.econbiz.de/10005603220
the model, the conventional Markov chain Monte Carlo (MCMC) method may converge painfully slowly and thus fails to provide …
Persistent link: https://www.econbiz.de/10010572297
Expert panels are playing an increasingly important role in U.S. health policy decision making. A fundamental issue in these applications is how to synthesize the judgments of individual experts into a group judgment. In this paper we propose an approach to synthesis based on Bayesian...
Persistent link: https://www.econbiz.de/10009197551
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
it is illustrated using an MCMC within Gibbs algorithm performed onsimulated data, as well as real data drawn from the …
Persistent link: https://www.econbiz.de/10010861880
This paper presents the R-package <B>MitISEM</B> (mixture of <I>t</I> by importance sampling weighted expectation maximization) which provides an automatic and flexible two-stage method to approximate a non-elliptical target density kernel -- typically a posterior density kernel -- using an adaptive mixture...</i></b>
Persistent link: https://www.econbiz.de/10011272589
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
This work proposes the application of a stochastic volatility model with jumps to the BRL/USD exchange rate. This model decomposes the process into transitory and permanent components that capture the jumps in the level of the unobserved volatility process. The model estimation is done using...
Persistent link: https://www.econbiz.de/10010836193
parameters as random variables, and we describe an MCMC algorithm to estimate the posterior densities of quantile regression …
Persistent link: https://www.econbiz.de/10005796611
which avoids difficult and time consuming tuning of MCMC strategies. The AdMitIS methodology is illustrated with an …
Persistent link: https://www.econbiz.de/10008498470