# Statistics at UC Berkeley

Sep 22, 2014
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...
James Lee, Department of Computer Science and Engineering, University of Washington
Oct 1, 2014 3:10pm
Abstract:
It is a well-known (and very powerful) fact that functions on Gaussian space become smoother under the Ornstein-Uhlenbeck semigroup. For instance, Nelson's hypercontractive inequality shows that if p > 1, then L^p functions are sent to L^q functions for some q > p. In 1989, Talagrand conjectured that quantitative smoothing is achieved even for functions in L^1, in the sense that under 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.
Nicholas Gunther, UC Berkeley (Speaker - Featured)
Oct 7, 2014 11:00am
Holger Dette, Department of Mathematics, Ruhr-Universitaet Bochum (Speaker)
Oct 8, 2014 1:00pm
Abstract:
We present an alternative method for the spectral analysis of strictly stationary time series $\{Y_t\}_{t\in \Z}$ by defining a new'' spectrum as the Fourier transform of the differences between copulas of the pairs $(Y_t,Y_{t-k})$ and the independence copula. This object is called a {\it copula spectral density kernel}and allows to separate the marginal and serial aspects of a time series. We...

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.