Speaker: Cosma Shalizi, Assistant Professor, Statistics, CMU
Title: Spatiotemporal Stochastic Processes and Their Prediction
Venue: NSH 1507
Date: Monday November 12
Time: 12:00 noon
Abstract:
This talk will continue the over-view of stochastic processes, movingfrom those which just evolve in time to ones which evolve in time andspace, where "space" can be a regular lattice, Euclidean space, a graph, etc. Adding space creates lots of interesting possibilities, which I'llillustrate with "cellular automata" models of physical and biologicalself-organization. After the challenges this setting raises for statistical learning have had a chance to sink in, I'll describe anapproach to discovering efficient "local predictors", and using them toautomatically identify interesting coherent structures in spatio-temporal data.
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