Sequential Monte Carlo (SMC) methods are widely used for non-linear filtering purposes. However, the SMC scope encompasses wider applications such as estimating static model parameters so much that it is becoming a serious alternative to Markov-Chain Monte-Carlo (MCMC) methods. Not only do SMC...

We study the impact of observational learning in large scale congested service systems with servers having heterogenous quality levels and customers that are heterogonously informed about the server quality. Providing congestion information to all customers allows them to avoid congested...

We design a statistical model for measuring the homogeneity of a financial network that evolves over time. Our model focuses on the level of diversi- fication of financial institutions; that is, whether they are more inclined to distribute their assets equally among partners, or if they rather...