Statistical and Mathematical Modeling of Rainfall, Stars, and Social Networks

Friday, October 28, 2011: 10:30 AM-12:00 PM
Ballroom V (San Jose Marriott Hotel)
Chair:
Alejandro Villagran, PhD, Assistant Professor, University of Connecticut

Description: Modeling natural and social sciences phenomena using statistics and applied mathematics is a very powerful tool nowadays. In this session, it will be shown in an accessible manner how to deal with complex problems in precipitation, laser fibers, star spectra, non-parametric regression, and social networks.



10:30 AM
Introductory Remarks
10:35 AM
A Geometric Approach for Inference on Graphical Models and Social Networks
Simon Lunagomez, PhD , Postdoctoral Research Associate , Harvard University
10:55 AM
Reproducing Kernel Hilbert Spaces for Penalized Regression: A Tutorial
Alvaro Nosedal, PhD , Assistant Professor , Indiana University of Pennsylvania-Main Campus
11:15 AM
Time-varying and Spatial Modeling of Precipitation Extremes
Gabriel Huerta, PhD , Associate Professor , University of New Mexico
11:35 AM
Bayesian Source Separation in Astronomy
Alejandro Villagran, PhD , Assistant Professor , University of Connecticut