Statistics at UC Berkeley

Tze Leung Lai, Stanford University
Sep 2, 2014 2:30pm
Abstract:
In the past five years, multi-armed bandits with covariates, also called "contextual bandits" in machine learning, have become an active area of research in data science, stochastic optimization, and statistical modeling because of their applications to the development of personalized strategies in translational medicine and in recommender systems for web-based marketing and electronic business....
Fraydoun Rezakhanlou, Berkeley (Speaker)
Sep 2, 2014 3:30pm
Abstract:
As a classical problem in Statistical Mechanics, consider an infinite one-dimensional chain of harmonic oscillators that are interacting via a repulsive potential. Macroscopically, the density functions for mass, momentum and energy satisfy the Euler Equation. By adding noise to the system we may violate some of the conservation laws and simplify the corresponding macroscopic equations. I present...
From Harmonic Oscillators to Kardar-Parisi-Zhang Equation
Lexin Li, Associate Professor, Division of Biostatistics, UC Berkeley
Sep 3, 2014 1:00pm
Abstract:
Abstract: In this talk, I would like to introduce some of my past and recent projects. I will divide the talk into two parts. In the first part, I will briefly review some of my work on dimension reduction, sequence analysis and networks analysis. In the second part, I will focus on a neuroimaging project. The goal is to use imaging data, which is in the form of a multidimensional array, a.k.a....
Peter Bürgisser (Speaker)
Sep 8, 2014 4:00pm
Abstract:
The first in the fall series of Simons Institute Open Lectures. The Open Lectures are intended for a broad scientific audience. Light refreshments will be served before the lecture at 3:30 p.m.
Gary Miller (Speaker)
Oct 6, 2014 4:00pm
Abstract:
The second in the fall series of Simons Institute Open Lectures. The Open Lectures are intended for a broad scientific audience. Light refreshments will be served before the lecture at 3:30 p.m.

Statistics at UC Berkeley: We are a community engaged in research and education in probability and statistics. In addition to developing fundamental theory and methodology, we are actively involved in statistical problems that arise in such diverse fields as molecular biology, geophysics, astronomy, AIDS research, neurophysiology, sociology, political science, education, demography, and the U.S. Census. We have forged strong interdisciplinary links with other departments and areas of study, particularly biostatistics, mathematics, computer science, and biology, and actively seek to recruit graduate students and faculty who can help to build and maintain such links. We also offer a statistical consulting service each semester.