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admissions_banner Apply now UConn Statistics Summer Academy Sponsored by Boehringer Ingelheim

News and Announcements

  • – Gyuhyeong Goh (Ph.D. 2015) has received tenure and was promoted to Associate Professor at Kansas State University.
  • – Assoc. Prof. Yuping Zhang has been awarded Scholarship Facilitation Funding (SFF).
  • – Sudipto Banerjee, ’00 PhD has been named a Fellow of the AAAS.
  • – 2020 Newsletter (The Department of Statistics, UConn)
  • What is a margin of error? This statistical tool can help you understand vaccine trials and political polling
  • – THE 26th PFIZER/ASA/UCONN DISTINGUISHED STATISTICIAN COLLOQUIUM (April 21, 2021)
  • – Sudipto Banerjee, ’00 PhD is the President-Elect of The International Society for Bayesian Analysis (ISBA)
  • [UConn Today] UConn Researchers Leveraging CT Health Data to Develop Suicide Risk Algorithms
  • – Dissertation Tentative Approval page no longer required
Welcome to the Department of Statistics at the University of Connecticut!

The Department of Statistics at the University of Connecticut was founded in 1962. As one of the major statistics departments in New England, it provides outstanding preparation for careers in academia, industry, or government. With a core faculty of 23 professors whose teaching and research interests span virtually all major statistical specializations, our department has received national and international recognition in graduate education and research. Graduates from UConn have found excellent positions in academics, government, and industry. We maintain close relationships with area companies and institutions, and our department is an active member of the American Statistical Association Connecticut chapter.

Paper of the Month

We are excited to announce the Paper of the Month:

Once a month during the academic year our faculty will select a paper which we encourage our students to read and discuss. Papers featured in this section should be generally understood by graduate students, and will be selected either because of their impact, or historical value, or because they contain a useful (perhaps overlooked) techniques or results.

December 2020

"RcppArmadillo: Accelerating R with high-performance C++ linear algebra", Dirk Eddelbuettel and Conrad Sanderson (2014).

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Colloquium

Wednesday, January 27 at 4:00PM
Qihe Tang, University of New South Wales
"Insurance Risk Analysis of Financial Networks Vulnerable to a Shock"

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Department Contact

Phone and Fax:
P:  +1.860.486.3414
F:   +1.860.486.4113

Location:
Philip E. Austin Building, 3rd Floor
(formerly CLAS Building)
Corner of Glenbrook Rd. & N. Eagleville Rd.
Storrs, Mansfield, Connecticut

Mailing Address (Mail Stop):
Room 323, Philip E. Austin Building
University of Connecticut
215 Glenbrook Rd. U-4120
Storrs, CT 06269-4120

GPS & Map:
41.8100815N, 72.2514472W

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