Department Highlights
We're Hiring: Three Tenure-Track Opportunities in Statistics
The UConn Department of Statistics seeks applications from qualified candidates for three open positions in the emerging areas of machine learning, statistical computing, and artificial intelligence.
Two New Undergraduate Degrees in Data Science
Learn more about the Department's new Bachelor of Science (BS) in Statistical Data Science.
Upcoming Local Conferences
Learn more about a range of upcoming academic conferences organized by UConn statistics department faculty
News and Announcements
Upcoming Events
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Mar
29
Interdisciplinary Seminar: Dr. Zhiliang Ying, Columbia University 11:00am
Interdisciplinary Seminar: Dr. Zhiliang Ying, Columbia University
Friday, March 29th, 2024
11:00 AM - 12:00 PM
Some Recent Developments in Educational and Psychological Measurement
Presented by Dr. Zhiliang Ying, Columbia University
Friday, 03/29/2024, 11am ET
In-Person: AUST 202
Virtual: https://tinyurl.com/rmme-Ying Meeting # 2634 178 3188
Password: RMMESTAT
cmr.webex.com
You can also dial 173.243.2.68 and enter your meeting number.
Join by phone: +1-415-655-0002 US Toll Access code: 263 417 83188Measurement theory plays a foundational role in educational and psychological assessment. Classical item response theory (IRT) models are widely used in the design and analysis of educational tests and psychological surveys that involve multiple choice questions. In this talk, we will first discuss some recent progress related to variations and extensions of the classical IRT model-based methods. We will then turn to the modeling and analysis of process data arising from complex problem-solving items, which are increasingly being adopted in large scale educational assessment. New developments, including statistical models and machine learning algorithms, will be presented. Examples from educational testing and psychological assessment will be used for illustration.
Dr. Zhiliang Ying is a Professor and Director of Graduate Studies in Statistics at Columbia University. He received his PhD in Statistics from Columbia University in 1987. He is also the chief co-editor of Statistica Sinica and associate editor of Bernoulli. His research interests include survival analysis, latent variable models, sequential analysis, longitudinal data analysis, stochastic processes, semiparametric inference, and their applications in health sciences, educational and psychological assessments, and finance. He has authored more than fifty articles in a wide variety of journals, such as: Biometrika; The Annals of Statistics; The Journal of the American Statistical Association; Applied Psychological Measurement; Psychometrika; and The Journal of the Royal Statistical Society.
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Apr
10
Statistics Colloquium: Antonio Punzo, University of Catania 4:00pm
Statistics Colloquium: Antonio Punzo, University of Catania
Wednesday, April 10th, 2024
04:00 PM - 05:00 PM
Advances in the use of the multivariate contaminated normal distribution in model-based clustering
Presented by Antonio Punzo, Department of Economics and Business, University of Catania
Wednesday, April 10 2024
4:00 PM-5:00 PM ET
AUST 163
Webex Meeting Link
Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)The multivariate contaminated normal (MCN) distribution represents a simple elliptical heavy-tailed generalization of the multivariate normal (MN) distribution aiming at handling and detecting mild outliers, sometimes also referred to as ‘bad’ points in the literature about the MCN. Advantageously, the two additional parameters have an interpretation of practical interest as a proportion of good observations and degree of contamination. In the talk, I will present a review of the uses of MCN distribution, and of some of its extensions, in clustering based on mixture models.
Speaker Bio:
Antonio Punzo attained his Ph.D. in Methodological and Applied Statistics from the University of Milano-Bicocca, Milan, Italy. Currently, he holds the position of Full Professor of Statistics within the Department of Economics and Business at the University of Catania, Catania, Italy. Notably, he has authored numerous articles, primarily focusing on clustering and classification using mixture models, which have been published in prestigious journals and book chapters. Additionally, he serves as an Associate Editor for esteemed publications including the Journal of Classification, Statistical Methods & Applications, Biometrical Journal, and Italian Journal of Applied Statistics.
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Apr
12
UConn Sports Analytics Symposium (UCSAS) 2024 All Day
UConn Sports Analytics Symposium (UCSAS) 2024
Friday, April 12th, 2024
All Day
UConn, recognized nationally for its teams in sports such as basketball, baseball, and hockey, among others, hosts the UConn Sports Analytics Symposium (UCSAS), which will focus specifically on undergraduate and graduate students who are interested in sports analytics. UCSAS, started in 2019 and organized by the Statistical Data Science Lab at UConn.Please visit the event’s homepage for this information at https://statds.org/events/ucsas2024/index.html
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