Markov chain Monte Carlo (MCMC) algorithms have played a significant rol...
We consider inference for a collection of partially observed, stochastic...
Parameter learning for high-dimensional, partially observed, and nonline...
The multivariate Bayesian structural time series (MBSTS) model as a
gene...
Stochastic models of interacting populations have crucial roles in scien...
In this paper, we propose the multivariate quantile Bayesian structural ...
Statisticians are usually glad to obtain additional data, but Monte Carl...
To meet the women appearance needs, we present a novel virtual experienc...
The tree reconstruction problem is to collect and analyze massive data a...
Based on endogenous economic growth models and the panel data of 31 regi...
Based on endogenous economic growth models and the panel data of 31 regi...
This paper deals with inference and prediction for multiple correlated t...