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.
Statistics at UC Berkeley
Oct 8, 2014
Sep 22, 2014
Simons Institute Open Lecture: Deciphering the Good-Turing Enigma: Estimating Probabilities of Unlikely and Unseen Events
Alon Orlitsky (Speaker)
The first in the spring 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.
Seminar 217, Risk Management: “Derivatives Pricing under Bilateral Counterparty Default Risk: Path-Independent Probabilistic Valuation"
Samim Ghamami, Federal Reserve (Speaker - Featured)
Boaz Nadler, Department of Computer Science and Applied Mathematics, Weizmann Institute of Science (Speaker)
In various decision making problems, one is given the advice or predictions of several classifiers of unknown reliability, over multiple questions or queries. This scenario is different from the standard supervised setting where classifier accuracy can be assessed using available labeled training or validation data, and raises several questions: given only the predictions of several classifiers...
Riddhipratim Basu, Department of Statistics, UC Berkeley
We study a variant of the voter model on a dynamically changing network where agents have the option of changing their friends rather than changing their opinions. We analyse, in the context of dense random graphs, two models considered in Durrett et. al. (Proc. Natl. Acad. Sci. 109: 3682-3687, 2012). When an edge between two agents holding different opinions is updated, with...
Harold Schmitz (Speaker - Featured)