Statistics at UC Berkeley

Adel Javanmard, EECS, UC Berkeley & EE, Stanford
Nov 3, 2014 3:00pm
Abstract:
Abstract: Fitting high-dimensional statistical models often requires the use of non-linear parameter estimation procedures. As a consequence, it is generally impossible to obtain an exact characterization of the probability distribution of the parameter estimates. Concretely, no commonly accepted procedure exists for computing classical measures of uncertainty and statistical significance like...
NCD Seminar
Alex Shkolnik, Stanford (Speaker - Featured)
Nov 4, 2014 11:00am
Fraydoun Rezakhanlou, UC Berkeley (Speaker)
Nov 4, 2014 3:30pm
Abstract:
Rough Path Theory of Terry Lyons provides a way to construct pathwise solutions to Stochastic Differential Equations. Regularity Structure Theory of Martin Hairer offers a multi-dimensional generalization of Rough Path Theory and can be used to build Markovian solutions to Stochastic PDEs. In these lectures I will give an overview of these theories and their applications to SPDEs.
Regularity Structures and Rough Path Theory
Prasad Tetali, Georgia Institute of Technology
Nov 5, 2014 3:10pm
Abstract:
Probability Seminar
Nov 7, 2014 12:00am
Abstract:
Siméon-Denis Poisson (1781-1840) was a French mathematician who made important contributions to many areas of mathematics including celestial mechanics, integration, probability theory, and mathematical physics. This exhibition includes original copies and facsimiles of some of Poisson's works as well as books and articles that illustrate Poisson’s scientific influence, the judgments...

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.