NEWS AND ANNOUNCEMENTS
- Prof. Kun Chen has been elected as Program Chair-Elect 2022 for the ASA Statistical Computing Section
- Profs. Cornejo, Prates, Dey & Rue have won best paper by International Association for Statistical Computing – Latin American Regional Section (IASC-LARS)
- Prof. Nalini Ravishanker has been presented a service award by the International Statistical Institute (ISI)
- – PhD student Yiming Zhang received 1st place award (Spiegelman Award) of the 2021 TSIG Student Paper Competition.
- – PhD student Yunqi Wang is a recipient of The Kenneth and Paula Munson Family Fund for Student Support in Health Sciences Fellowship.
- – Asst. Prof. Yao Zheng has been awarded a UConn Research Excellence Program (REP) funding for AY 2020-21.
- -Guanyu Hu, former Postdoc Research Scholar (2017-2020) has been awarded a 2021 New Researcher Travel Award from IMS.
- – Assoc. Prof. HaiYing Wang has received a three-year NSF grant.
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.
"Selective Inference: The Silent Killer of Replicability", Benjamini, Y. (2020).
SEMINARS ON SM-SBR
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