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Office: Sequoia Hall, 390 Jane Stanford Way
Mail Code: 4065
Web Site:

Courses offered by the Department of Statistics are listed under the subject code STATS on the Stanford Bulletin's Explore Courses web site.

The department's goals are to acquaint students with the role played in science and technology by probabilistic and statistical ideas and methods, to provide instruction in the theory and application of techniques that have been found to be commonly useful, and to train research workers in probability and statistics. There are courses for general students as well as those who plan careers in statistics in business, government, industry, and teaching.

The department has long recognized the relation of statistical theory to applications. It has fostered this by encouraging a liaison with other departments in the form of joint and courtesy faculty appointments, as well as membership in various interdisciplinary programs: Biomedical Data Science, Bio-X, Center for Computational, Evolutionary and Human Genomics, Computer Science, Data Science, Economics, Education, Electrical Engineering, Earth System Science, Genetics, Mathematics, Mathematical and Computational Finance, and Medicine. The research activities of the department reflect an interest in applied and theoretical statistics and probability. There are workshops in biology/medicine and in environmental factors in health.

In addition to courses for Statistics students, the department offers a number of service courses designed for students in other departments. These tend to emphasize the application of statistical techniques rather than their theoretical development.

The department has always drawn visitors from other countries and universities, and as a result there are a wide range of seminars offered by both the visitors and the department's own faculty.

Undergraduate Programs in Statistics

The department offers a minor in Statistics. Program details can be found under the Minor section.

Undergraduates Interested in Statistics

Students wishing to build a concentration in probability and statistics are encouraged to consider declaring a major in Data Science. This interdisciplinary program is administered in the Department of Statistics and provides core training in computing, mathematics, operations research, and statistics, with opportunities for further elective work and specialization. A minor in Data Science is also offered. See the "Data Science" section of this bulletin.

Graduate Programs in Statistics

University requirements for the M.S. and Ph.D. degrees are discussed in the "Graduate Degrees" section of this bulletin.


Emeriti: (Professors) Bradley Efron, Jerome H. Friedman, Paul Switzer

Chair: Jonathan Taylor

Director of Graduate Studies: Joseph P. Romano

Director of Undergraduate Studies: Guenther Walther

Professors: Emmanuel Candès, Sourav Chatterjee, Amir Dembo, Persi Diaconis, David L. Donoho, Emily B. Fox, Trevor J. Hastie, Susan P. Holmes, Iain M. Johnstone, Tze L. Lai, Andrea Montanari, Art Owen, Joseph P. Romano, Chiara Sabatti, David O. Siegmund, Jonathan Taylor, Robert J. Tibshirani, Guenther Walther, Wing H. Wong

Associate Professors: John Duchi, Julia Palacios, Dennis Sun

Assistant Professors: Scott Linderman, Dominik Rothenhäusler, Tselil Schramm

Courtesy Professors: John Ioannidis, Hua Tang, Lu Tian

Courtesy Associate Professors: Mike Baiocchi, Percy Shuo Liang, Julia Salzman, Stefan Wager

Courtesy Assistant Professors: Lihua Lei

Stein Fellows: Dan Daniel Erdmann-Pham, Alden Green, Shuangping Li