Campuses:

Bayesian

Wednesday, April 30, 2014 - 10:15am - 11:05am
Ulrich Wagner (IST Austria)
We discuss a number of open questions and results concerning
(from a combinatorialist's point of view) higher-dimensional
analogues of graph planarity and crossing numbers, i.e., embeddings
of finite simplicial complexes (compact polyhedra) into Euclidean space.

While embeddings are a classical topic in geometric topology, here
we focus rather on algorithmic and combinatorial aspects. Two typical
questions are the following:
(1) Is there an algorithm that, given as input a finite k-dimensional simplical
Tuesday, March 12, 2013 - 12:00pm - 12:30pm
Ralph Milliff (University of Colorado)
The Bayesian Hierarchical Model (BHM) methodology has been applied to the
generation of ensemble ocean surface vector winds in a sequence of increasingly
sophisticated models. This history is briefly reviewed to establish the
approach to BHM development in atmosphere-ocean contexts. Recently,
ensemble surface winds and wind stresses are obtained from BHMs, given data
stage inputs from satellites and weather-center analyses. Process model distributions
are based on leading
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