Statistics

University of California, Berkeley

Overview

The Department of Statistics grants BA, MA, and PhD degrees in Statistics. The undergraduate and graduate programs allow students to participate in a field that is growing in importance and breadth of application. Understanding the natural and human worlds in the Information Age increasingly requires statistical reasoning and methods, and stochastic models are essential components of research and applications across a vast spectrum of fields. The Department of Statistics provides students with world-class resources for study and research, including access to the extensive computational facilities maintained by the Statistical Computing Facility.

Facilities and Resources

The Statistical Computing Facility (SCF) is a unit of the Department of Statistics. Its mission is to provide the undergraduate students, graduate students, postdocs, and faculty in the Statistics Department at Berkeley with state-of-the-art computing resources, services, and technical knowledge, supporting them in carrying out cutting-edge research activities, innovative instructional programs, and efficient day-to-day computing activities. The SCF also supports the students and faculty of the Econometrics Laboratory of the Department of Economics.

The Department of Statistics operates a consulting service in which advanced graduate students, under faculty supervision, are available as consultants during specified hours. The service is associated with the course STAT 272 Statistical Consulting, which may be taken for credit. Consulting is free to members of the campus community. Statistical advice can be sought at any stage of the research process. Those seeking statistical advice are encouraged to contact consultants early in the research process. Refer to the Department of Statistics website to find out which faculty member is currently coordinating this service.

Three seminars regularly take place in the department: the Neyman seminar,  the probability seminar, and the statistics and genomics seminar. Each year, we also have two joint seminars with Stanford and a joint seminar with Davis.

Undergraduate Programs

Statistics: BA, Minor

Graduate Programs

Statistics: MA, PhD

Visit Department Website

Courses

Statistics

Faculty and Instructors

+ Indicates this faculty member is the recipient of the Distinguished Teaching Award.

Faculty

David Aldous, Professor. Mathematical probability, applied probability, analysis of algorithms, phylogenetic trees, complex networks, random networks, entropy, spatial networks.
Research Profile

Peter L. Bartlett, Professor. Statistics, machine learning, statistical learning theory, adaptive control.
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David R. Brillinger, Professor. Risk analysis, statistical methods, data analysis, animal and fish motion trajectories, statistical applications in engineering and science, sports statistics.
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James Bentley Brown, Assistant Adjunct Professor.

Peng Ding, Assistant Professor.
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Sandrine Dudoit, Professor. Genomics, classification, statistical computing, biostatistics, cross-validation, density estimation, genetic mapping, high-throughput sequencing, loss-based estimation, microarray, model selection, multiple hypothesis testing, prediction, RNA-Seq.
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Noureddine El Karoui, Associate Professor. Applied statistics, theory and applications of random matrices, large dimensional covariance estimation and properties of covariance matrices, connections with mathematical finance.
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Steven N. Evans, Professor. Genetics, random matrices, superprocesses and other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, phylogenetics and historical linguistics.
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Will Fithian, Assistant Professor.
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Shirshendu Ganguly, Assistant Professor.

Lisa Goldberg, Adjunct Professor.

Adityanand Guntuboyina, Assistant Professor.

Alan Hammond, Associate Professor.

Haiyan Huang, Associate Professor. Applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification.
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Nicholas P. Jewell, Professor. AIDS, statistics, epidemiology, infectious diseases, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts.
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Michael I. Jordan, Professor. Computer science, artificial intelligence, bioinformatics, statistics, machine learning, electrical engineering, applied statistics, optimization.
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Michael J. Klass, Professor. Statistics, mathematics, probability theory, combinatorics independent random variables, iterated logarithm, tail probabilities, functions of sums.
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Michael William Mahoney, Associate Adjunct Professor.

Jon Mcauliffe, Associate Adjunct Professor. Bioinformatics, machine learning, nonparametrics, convex optimization, statistical computing, prediction, supervised learning.
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Rasmus Nielsen, Professor. Statistical and computational aspects of evolutionary theory and genetics.
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+ Deborah Nolan, Professor. Statistics, empirical process, high-dimensional modeling, technology in education.
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Christopher Paciorek, Adjunct Professor.

Sam Pimentel, Assistant Professor.

James W. Pitman, Professor. Fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence.
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Elizabeth Purdom, Assistant Professor. Computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics.
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Jasjeet S. Sekhon, Professor. Program evaluation, statistical and computational methods, causal inference, elections, public opinion, American politics .

Alistair Sinclair, Professor. Algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization.
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Yun Song, Associate Professor. Computational biology, population genomics, applied probability and statistics.
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Philip B. Stark, Professor. Astrophysics, law, statistics, litigation, causal inference, inverse problems, geophysics, elections, uncertainty quantification, educational technology.
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Bernd Sturmfels, Professor. Mathematics, combinatorics, computational algebraic geometry.
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Nike Sun, Assistant Professor.
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Mark J. Van Der Laan, Professor. Statistics, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies.
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Martin Wainwright, Professor. Statistical machine learning, High-dimensional statistics, information theory, Optimization and algorithmss.
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Bin Yu, Professor. Neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization.
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Lecturers

+ Ani Adhikari, Senior Lecturer SOE.

Fletcher H. Ibser, Lecturer.

Cari Kaufman, Lecturer.

Adam R. Lucas, Lecturer.

Gaston Sanchez Trujillo, Lecturer.

Shobhana Stoyanov, Lecturer.

Visiting Faculty

Merle Behr, Visiting Assistant Professor.

Oscar Madrid Padilla, Visiting Assistant Professor.

Emeritus Faculty

Peter J. Bickel, Professor Emeritus. Statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology.
Research Profile

Ching-Shui Cheng, Professor Emeritus. Statistics, statistical design of experiments, combinatorial problems, efficient experimental design.
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Kjell A. Doksum, Professor Emeritus. Statistics, curve estimation, nonparametric regression, correlation curves, survival analysis, semiparametric, nonparametric settings, regression quantiles, analysis of financial data.
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Leo Goodman, Professor Emeritus. Sociology, statistics, log-linear models, correspondence analysis models, mathematical demography, categorical data analysis, survey data analysis, logit models, log-bilinear models, association models.
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Pressley W. Millar, Professor Emeritus. Statistics, Martingales, Markov processes, Gaussian processes, excursion theory, asymptotic statistical decision theory, nonparametrics, robustness, stochastic procedures, asymptotic minimas theory, bootstrap theory.
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Roger A. Purves, Professor Emeritus. Statistics, foundations of probability, measurability.
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John A. Rice, Professor Emeritus. Transportation, astronomy, statistics, functional data analysis, time series analysis.
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Terence P. Speed, Professor Emeritus. Genomics, statistics, genetics and molecular biology, protein sequences.
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Charles J. Stone, Professor Emeritus. Statistical modeling with splines, statistical education.
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Kenneth Wachter, Professor Emeritus. Mathematical demography stochastic models, simulation, biodemography, federal statistical system.
Research Profile

Contact Information

Department of Statistics

367 Evans Hall

Phone: 510-642-2781

Fax: 510-641-7892

Visit Department Website

Department Chair

Deborah Nolan, PhD

395 Evans Hall

chair@stat.berkeley.edu

Undergraduate Program Committee Chair

Will Fithian, PhD

301 Evans Hall

wfithian@berkeley.edu

Undergraduate Student Services Adviser & Course and Curriculum Officer

Denise Yee

369 Evans Hall

Phone: 510-643-6131

dyee@berkeley.edu

Undergraduate Student Services Adviser

Majabeen Samadi

367 Evans Hall

Phone: 510-643-2459

majabeen@berkeley.edu

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