Statistics at UC Berkeley

Markus Pelger, UC Berkeley (Speaker - Featured)
Oct 28, 2014 11:00am
Evan Snitkin, University of Michigan Medical School (Speaker)
Oct 28, 2014 4:00pm
Abstract:
Healthcare-associated infections (HAIs) affect 5% of hospitalized patients, result in 99,000 deaths and cost $30 billion each year in the United States alone. The impact of HAI is poised to become even greater, as multi-drug resistant organisms continue to spread, and the number of effective antibiotics dwindles. Thus, there is an urgent need for more effective infection prevention strategies and...
Michael Newton, University of Wisconsin (Speaker)
Oct 29, 2014 1:00pm
Abstract:
Hypothesis testing approaches have dominated high-dimensional inference in genomic applications. In many contexts, the precision with which individual parameters are estimated varies greatly among parameters, and testing approaches, which are most concerned with type I errors, behave poorly in ranking and selecting the most interesting (largest) individual parameters owing to an imbalance of...
Tyler Helmuth, University of British Columbia
Oct 29, 2014 3:10pm
Abstract:
Loop-weighted walk is a one-parameter family of non-Markovian random walks that arise naturally in statistical mechanics. A loop-weighted walk receives weight $\lambda^{k}$ if it contains $k$ loops; whether this is a reward or punishment depends on the value of the parameter $\lambda$. A challenging feature of the model is that it is not purely repulsive, meaning the weight of the future of a...
Alex Shkolnik, Stanford (Speaker - Featured)
Nov 4, 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.