Statistics at UC Berkeley

Emilio Zagheni, University of Washington, Seattle (Moderator), Sharad Goel, Stanford University (Speaker), Emmanuel Letouze, UC Berkeley (Speaker), Tapan Parikh, UC Berkeley School of Information (Speaker), Maya Petersen, UC Berkeley School of Public Health (Speaker)
Nov 21, 2014 12:00pm
An interdisciplinary symposium, presented by the Berkeley Population Center, together with the Center on the Economics and Demography of Aging and the Department of Demography Researchers in Computer Science, Engineering, Public Health and Demography, from Berkeley, Stanford, and the University of Washington, gather to present findings and consider emerging questions
What are the implications of big data for population research, and how can demography inform the use and development of big data?
Sivaraman Balakrishnan, EECS, UC Berkeley
Nov 24, 2014 3:00pm
The expectation-maximization (EM) algorithm is an iterative method for finding maximum- likelihood estimates of parameters in statistical models with unobserved latent variables. Along with Markov Chain Monte Carlo (MCMC) it is one of the two computational workhorses that provided much impetus for statistics in entering its modern “computer-intensive” phase. Much is known about the EM...
NCD Seminar
Giorgio Ottaviani (Speaker)
Nov 24, 2014 4:00pm
The third 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.
Anand Bhaskar, Stanford University
Nov 26, 2014 1:00pm
Genome sequences of present-day individuals are amazingly accurate records of the demographic events that have shaped the history of modern human populations, such as the migration of humans out of Africa, the peopling of different parts of the world, and the explosive population growth in the last few hundred generations of human civilization. Such understanding of population demography, besides...
Hayne Leland (Speaker - Featured)
Dec 2, 2014 11:00am

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.