Peter Bickel

Professor Emeritus


Website
https://bickel.stat.berkeley.edu

Office / Location
411 Evans Hall

Phone
(510) 642-1381

Email
bickel@stat.berkeley.edu


Research Expertise and Interests
statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Research Description
http://vcresearch.berkeley.edu/faculty/peter-bickel

My main theoretical interest is in understanding why we are able to do statistics as well as we do on very high dimensional datasets without knowing much, even though least favorable (malicious God) formulations suggest we should not be able to do anything. Currently this has led me to focus on estimation of covariance matrices and their eigenstructures in high dimensions. Parallel applied interests are in:
?Computational biology, specifically at the moment regulatory networks in the cell. To my surprise some of the methods flowing out of my primary interest are relevant to this one.
?Atmospheric sciences ... in part as a ready source of questions based on very high dimensional data.
Research Areas
Applications in Biology and Medicine
Causal Inference and Graphical Models
High Dimensional Data Analysis
Non-Parametric Inference


Select Publications
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