Statistics at UC Berkeley

Eugenio Regazzini, Universita degli Studi di Pavia, Italy
Aug 22, 2018 3:00pm 1011 Evans Hall
Abstract:
This talk deals with suitable quantifications in approximating a probability measure by an “empirical” random probability measure \hat p_n, depending on the first n terms of a sequence \{\xi_i\}_{i\ge1} of random elements. In the first part, we study the range of oscillation near zero of the p-Wasserstein distance d(p) .... Based on joint work with Emanuele Dolera.
Peng Ding, UC Berkeley
Aug 22, 2018 4:00pm 1011 Evans Hall
Abstract:
Randomization is a basis for the statistical inference of treatment effects without assumptions on the outcome generating process. Appropriately using covariates further yields more precise estimators in randomized experiments. In his seminal work Design of Experiments, R. A. Fisher suggested blocking on discrete covariates in the design stage and conducting the analysis of covariance (ANCOVA) in...
Speaker: Montserrat Guillen, University of Barcelona (Speaker - Featured)
Aug 28, 2018 11:00am 1011 Evans Hall
Abstract:
Many automobile insurance companies offer the possibility to monitor driving habits and distance driven by means of telematics devices installed in the vehicles. This provides a novel source of data that can be analysed to calculate personalised tariffs. For instance, drivers who accumulate a lot of miles should be charged more for their insurance coverage than those who make little use of their...
Speaker: Montserrat Guillen, University of Barcelona (Speaker - Featured)
Aug 28, 2018 11:00am 1011 Evans Hall
Martin Vogel, UC Berkeley
Aug 29, 2018 3:00pm 1011 Evans Hall
Abstract:
The spectrum of non-selfadjoint operators can be highly unstable even under very small perturbations. This phenomenon is referred to as "pseudospectral effect". Traditionally this pseudosepctral effect was considered a drawback since it can be the source of immense numerical errors, as shown for instance in the works of L. N. Trefethen. However, this pseudospectral effect can also be the source...

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.