On November 30th from 5PM – 6PM, join staff from the Center for Career Development, a Statistics Alum, and a University Recruiter for Statistics, Mathematics-Statistics, and Statistical Data Science majors as they discuss how the NACE Career Competencies can be influential in the internship/job application process. Learn more about what the NACE Career Competencies are, why […]
Events
UConn/UMass Joint Colloquium: Dipak Dey, University of Connecticut
Generalized Variable Selection Algorithms for Gaussian Process Models Presented by Dipak Dey University of Connecticut Webpage: http://merlot.stat.uconn.edu/~dey/ Wednesday, Nov 8 2023 4:00 PM-5:00 PM ET UMass LGRT 1681 Zoom Meeting Link With the rapid development of modern technology, massive amounts of data with complex pattern are generated. Gaussian process models that can easily fit the […]
Statistics Colloquium: Davide Viviano, Harvard University
Policy Targeting under Network Interference Econometrics-Statistics Joint Seminar Presented by Davide Viviano , PhD Harvard University Host: Jungbin Hwang/Yao Zheng Friday, Oct 27 2023 1:25 PM-2:45 PM ET OAK 337 Zoom Meeting Link This paper studies the problem of optimally allocating treatments in the presence of spillover effects, using information from a (quasi-)experiment. I introduce a method […]
Statistics Colloquium: Norou Diawara, Old Dominion University
Copula Based Models for Bivariate Zero-Inflated Count Time Series Data Presented by Norou Diawara, PhD Professor of Statistics, Old Dominion University Wednesday, Nov 1 2023 4:00 PM-5:00 PM ET AUST 110 Webex Meeting Link Count time series data have multiple applications. The applications can be found in areas of climate, public health, crime data analyses […]
Statistics Colloquium: Sanjib Basu, University of Illinois Chicago
Bayesian Nonparametric Modeling of Restricted Mean Survival Time Presented by Sanjib Basu, PhD Distinguished Professor, University of Illinois Chicago Director, Center for Biostatistical Development Wednesday, Oct 18 2023 4:00 PM-5:00 PM ET AUST 110 Webex Meeting Link Restricted mean survival time (RMST) is increasingly being used in planning and analyzing time-to-event outcome in clinical, medical […]
Interdisciplinary Seminar: Wes Bonifay, Stanford University
Uncovering the Hidden Complexity of Statistical Models Presented by Dr. Wes Bonifay, University of Missouri Friday, October 13 11:00 a.m. ET Virtual meeting – Webex meeting room Model complexity is the ability of a statistical model to fit a wide range of data patterns. Complexity is routinely assessed by simply counting the number of freely […]
Interdisciplinary Seminar: Dr. Xinyuan Song, The Chinese University of Hong Kong
Hidden Markov Models With An Unknown Number Of Hidden States Presented by Dr. Xinyuan Song, The Chinese University of Hong Kong Friday, NOVEMBER 3 10:00 a.m. ET Virtual meeting – Webex meeting room Hidden Markov models (HMMs) are valuable tools for analyzing longitudinal data due to their capability to describe dynamic heterogeneity. Conventional HMMs typically […]
Paper of the Month: October 2023
Statistical Hypothesis from the view point of Fisher, Jeffreys and Neyman: Agreements and Disagreements
Countdown to the 29th Pfizer / ASA / UConn Distinguished Statistician Colloquium at UConn on October 25th!
The 29th Pfizer/ASA/UConn Distinguished Statistician Colloquium October 25, 2023 at the UConn Student Union, Room 304 Storrs, CT 06269 2:30 PM ET Registration and Light Refreshments 3:00 PM ET Lecture 4:00 PM ET Interview 5:30 – 8:00 PM ET – Banquet, The Alumni Center The Department of Statistics at the University of Connecticut is honored […]
Statistics Colloquium: Cristina Sison, Northwell Health
Recipient of the 2023 UConn Statistics Department Distinguished Alumna Award Perspectives from the Realm of Statistical Consulting Presented by Cristina Sison, PhD, Director and Senior Research Statistician, Biostatistics Unit, Office of Academic Affairs, Northwell Health Wednesday, Sep 20 2023 4:00 PM-5:00 PM ET AUST 110 Webex Meeting Link Borrowing from a rich and varied experience […]