“...We propose sequential Monte Carlo-based algorithms for maximum likelihood estimation of the static parameters in hidden Markov models with an intractable...”

“...The problem of finding densely connected subgraphs in a network has attracted a lot of recent interest. Such subgraphs are sometimes referred to as communities...”

“...Importance sampling is a classical Monte Carlo technique in which a random sample from one probability density, π 1 , is used to estimate an expectation with...”

“...We consider a Ba yesian random effects model that is commonly used in meta-analysis, in which the random effects have a t distribution, with degrees of freedom...”

“...The original article has been corrected...”

“...Suppose there are n players in an ongoing competition, with player i having value vi, and suppose that a game between i and j is won by i with probability...”