Title:  Modeling, Inference and Forecasting in the Age of Fast Computers

Presenter:  Dr. Katherine B. Ensor, Rice University

Advances in statistical methodologies are inherently coupled to advances in computing technology.  Examples of such paradigm shifts in statistical modeling and inference include the bootstrap, nonparametric function estimation, as well as the age of the MCMC solutions to Bayesian models.  Just as significantly, the ability to easily simulate complicated stochastic processes provides us with a means of utilizing stochastic models increasingly in our scientific investigations.  In this talk I will focus on the development of methodologies for dependent processes including computer intensive advances in inference and forecasting as well as highlight new work in the area of spatio-temporal modeling.