Statistics at UC Berkeley

Aditya Guntuboyina, Department of Statistics, UC Berkeley
Sep 22, 2014 3:00pm
Abstract:
The least squares estimator in shape constrained regression problems such as isotonic and convex regression automatically adapts to some natural underlying sparsity. I will talk about these results and, in the process, describe some aspects of a general theory for the estimation of a normal mean under convexity constraints. I will also explain connections to the classical random...
NCD Seminar
Stefano DellaVigna, UC Berkeley (Speaker - Featured)
Sep 23, 2014 11:00am
Abstract:
with Susan Athey
Oskar Hallatschek, UC Berkeley (Speaker)
Sep 24, 2014 1:00pm
Abstract:
The spreading of evolutionary novelties across populations is the central element of adaptation. Unless population are well-mixed (like bacteria in a shaken test tube), the spreading dynamics not only depends on fitness differences but also on the dispersal be- havior of the species. Spreading at a constant speed is gener- ally predicted when dispersal is sufficiently short-ranged, specifically...
Sebastian Hohna, UC Berkeley (Speaker)
Oct 1, 2014 1:00pm
Abstract:
RevBayes is a computational framework for Bayesian phylogenetic inference. It is inspired by R and BUGS but focusing phylogeny problems. The aim of RevBayes is to provide tools and methods for flexible assembly of probabilistic graphical models in statistical phylogenetics. In this talk I will present how a phylogenetic model is represented as graphical model. The main components of the...
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.