Statistics at UC Berkeley

Christopher Paciorek, Department of Statistics, UC Berkeley
Aug 19, 2017 8:00am 100 Genetics & Plant Biology Building
Abstract:
The Statistics Department and D-Lab are offering an introductory short course on the statistical/data science software R on Saturday-Sunday, August 19-20. The short course will be a thorough introduction to working with data, statistical analysis, and programming in R, with no prior knowledge assumed. Please see http://dlab.berkeley.edu/training/r-bootcamp-2017 for more details.
Riddhipratim Basu, Stanford University
Aug 23, 2017 3:10pm 1011 Evans Hall
Abstract:
On a locally finite graph, consider the following interacting particle system, known as Activated Random Walk (ARW). Start with a mass density µ of initially active particles, each of which performs a continuous time nearest neighbour symmetric random walk at rate one and falls asleep at rate λ > 0. Sleepy particles become active on coming in contact with active particles...
Anna Sackmann, Kresge Engineering Library, Lisa Ngo, Kresge Engineering Library
Aug 24, 2017 4:00pm Kresge Engineering Library Training Room 110MD Bechtel Engineering Center
Abstract:
This workshop is an introduction to the LaTeX typesetting language. Document structure, templates, and commonly used syntax will be introduced and practiced during this hands-on workshop.
Speaker: Michael Ohlrogge, Stanford (Speaker - Featured)
Aug 29, 2017 11:00am 639 Evans Hall
Abstract:
I examine whether whether low capital levels incentivize banks to systematically originate and hold riskier loans. I construct a novel data set consisting of 1.8 million small business and home mortgage loans, matched to the specific banks that originated them and the capital levels of those banks at the time of origination, and verified to be held on bank portfolios, rather than sold. A one...
Brian Quigley, Kresge Engineering Library
Aug 31, 2017 4:00pm Kresge Engineering Library Training Room 110MD Bechtel Engineering Center
Abstract:
This workshop is an introduction to typesetting math using LaTeX. Attendees will learn how to create various environments for equations and formulas; subscripting and superscripting; Greek letters; and other commonly used syntax for math.

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.