Reservoir uncertainty analysis is significant for petroleum engineers for predictions of reservoir performance. However, analysis of reservoir performance uncertainty is challengi...
Emrah Ceyhan, Gabrielle Allen, Christopher D. Whit...
GeneSyS is an IST project (IST-2001-34162) developing a new generic middleware for supervising distributed systems at different levels such as Application, Network, System. The pr...
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Importance sampling is used in this paper to address the classical yet important problem of performance estimation of block codes. Simulation distributions that comprise discretean...
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...