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Jump to navigation University of California, Berkeley Department of Statistics Members: Log in Search form Search this site Statistics at UC Berkeley Alumni » Consulting » Donors » Visitors » 2018 JSM Alumni Mixer 2019 Loeve International Prize Awardee Allan Sly Faculty SGSA Fall Welcome Picnic 2017 Statistics at Cal Day 2018 Commencement 2019 Berkeley Statistics History» ‹ Pause › News Events We are Hiring! Lecturer Pool Open for Applications Feb 13, 2020 We Are Hiring! - NSF Teaching Postdoc Jan 17, 2020 Newly named Division of Computing, Data Science, and Society Feb 6, 2020 Yu release of H2O Feb 6, 2020 Peng Ding and Shirshendu Ganguly receive NSF CAREER Awards Jan 31, 2020 See all news » Seminar 217, Risk Management: Nonparametric prediction of portfolio return volatility and its extension to the longer horizon Dangxing Chen, UC Berkeley Feb 18, 2020 11:00am ☞ 1011 Evans Hall Abstract: ABSTRACT: Stationary solutions for the stochastic heat, KPZ, and Burgers equations Alexander Dunlap Feb 19, 2020 3:10pm ☞ 330 Evans Hall Abstract: The KPZ equation, a model for the random growth of rough interfaces, has been the subject of great physical and mathematical interest since its introduction in 1986. By simple changes of variables, it is closely related to the stochastic heat equation, which models the partition function of a random walk in a random environment, and the stochastic Burgers equation, a simple model for turbulence.... High-dimensional signal and noise in 20,000 neuron recordings Carsen Stringer, HHMI Janelia Research Feb 19, 2020 4:00pm ☞ 1011 Evans Hall Abstract: Interpreting high-dimensional datasets requires new computational and analytical methods. I have developed such methods to extract and analyze neural activity from 20,000 neurons recorded simultaneously in awake, behaving mice. The neural activity was not low-dimensional as commonly thought, but instead was high-dimensional and obeyed a power-law scaling across its eigenvalues. We developed a... Neyman Seminar Trend Filtering, From Univariate to Graphs, and Old and to New Ryan Tibshirani, Carnegie Mellon University Feb 24, 2020 4:00pm ☞ 1011 Evans Hall Abstract: This talk is centered around trend filtering, a relatively recent method for nonparametric regresson based on penalizing the L1 norm of discrete derivatives. We will discuss some of the unique features of this method that "make it work", and briefly cover extensions to additive models and graphs. We will finish by discussing connections to what are an old topic in numerical analysis---discrete... Neyman Seminar Seminar 217, Risk Management: Decomposing Factor Momentum Hanlin Yang, UC Berkeley Feb 25, 2020 11:00am ☞ 1011 Evans Hall Abstract: ABSTRACT: See more events » 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. 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