Statistics at UC Berkeley

Matthew Junge, Duke University
Sep 20, 2017 3:10pm 1011 Evans Hall
Abstract:
Parking functions were introduced by combinatorialists in the 1960s, and have recently been studied by probabilists. When the parking lot is an infinite graph and cars drive around at random, we will look at how many parking spots are needed for every car to eventually find a spot. Joint work with Michael Damron, Janko Gravner, Hanbeck Lyu, and David Sivakoff.
Adityanand Guntuboyina, University of California, Berkeley
Sep 20, 2017 4:00pm 1011 Evans Hall
Abstract:
We study two convex optimization based procedures for nonparametric function estimation: trend filtering (or higher order total variation denoising) and the Kiefer-Wolfowitz MLE for Gaussian location mixtures. Trend filtering can be seen as a technique for fitting spline-like functions for nonparametric regression with adaptive knot selection. It can also be seen as a special case of LASSO for a...
Sep 22, 2017 12:00pm 310 Jacobs Hall
Abstract:
Stamen founder, CEO, and creative director Eric Rodenbeck will speak at Jacobs Hall as part of the Jacobs Design Conversations series.
Speaker: Ben Gum, AXA Rosenberg (Speaker - Featured)
Sep 26, 2017 11:00am 639 Evans Hall
Abstract:
This talk discusses the "VIX complex'': index, futures and exchange-traded products based on S&P 500 option-implied volatility. We examine the stationarity hypothesis for VIX and its consequences in terms of risk-modeling. PCA analysis and results of Alexander and Kavila suggest that constant-maturity VIX futures may be modeled using two common statistical factors. The VIX dynamics consists of...
Max Tegmark, Massachusetts Institute of Technology
Sep 26, 2017 3:30pm 430-8 Wozniak Lounge Soda Hall
Abstract:
How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing...
A talk by Max Tegmark

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.