Statistics at UC Berkeley

Speakers: Ayako Yasuda, UC Davis (Speaker - Featured)
Apr 23, 2019 11:00am 1011 Evans Hall
Abstract:
We study how cross-sectional and temporal variation in valuation practice of private startup holdings by mutual funds affects investors’ access to these pre-IPO firms. Price dispersion across fund families holding the same security averages 10.0%, and is as large as 25% in some quarters. 42% of reported prices are not updated between quarters but large valuation changes occur when startups close...
Peter Sarnak, Princeton University and IAS
Apr 24, 2019 3:00pm 1011 Evans Hall
Abstract:
The topology of a hyper-surface in P^n(R) of high degree can be very complicated .However if we choose the surface at random there is a universal law . Little is known about this law and it appears to be dramatically different for n=2 and n>2 . There is a similar theory for zero sets of monochromatic waves which model nodal sets . Joint work with Y.Canzani and I.Wigman
Hao Chen, UC Davis
Apr 25, 2019 4:00pm 3106 Etcheverry Hall
Abstract:
The curse of dimensionality arises when analyzing high-dimensional data and non-Euclidean data, such as network data, which are ubiquitous nowadays. It causes counter-intuitive phenomena and makes traditional statistical tools less effective or inapplicable. On the other hand, some counter-intuitive phenomena might be explained by some universal patterns, which could be used to form new effective...
Speakers: Senyang Zhao, SWUFE (Speaker - Featured)
Apr 30, 2019 11:00am 1011 Evans Hall
Abstract:
This research studies the role of information network in market quality and market reaction to public announcements. We propose in this article a three-period rational noisy expected equilibrium model by taking both public and private information into account with an embedded information network structure among market traders. Closed form expressions for market reaction and market quality are...
May 1, 2019 4:30pm 125 Li Ka Shing Center
Abstract:
Leveraging linkage disequilibrium to identify adaptive and disease-causing mutations Abstract: Correlation among genotypes in human population-genetic datasets complicates the localization of both adaptive mutations and disease-causing mutations. I will describe our latest efforts to develop new methods for localizing adaptive and disease-causing mutations, motivated by (1) incorporating...
Sohini Ramachandran, Associate Professor, Brown University

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.