Events
Paper of the Month: February 2021
Bickel, P.J. and Li, B. (2006) Regularization in statistics. Test 15, 271–344.
Interdisciplinary Seminar: P. Richard Hahn, Arizona State University
“The Bayesian Causal Forest Model: Regularization, Confounding, and Heterogeneous Effects,” presented by P. Richard Hahn, Arizona State University
Interdisciplinary Seminar: Paul De Boeck, The Ohio State University
“Response Accuracy and Response Time in Cognitive Tests,” presented by Paul De Boeck, The Ohio State University
Paper of the Month: December 2020
Dirk Eddelbuettel and Conrad Sanderson(2014) RcppArmadillo: Accelerating R with high-performance C++ linear algebra. Computational Statistics and Data Analysis, 2014, 71, March, pages 1054- 1063.
Interdisciplinary Seminar: Bengt Muthen, University of California
“Recent Advances in Latent Variable Modeling,” presented by Bengt Muthen, Professor Emeritus, University of California, Los Angeles
– 2020 New England Rare Disease Statistics (NERDS) Webinar Series
The New England Statistical Society (NESS), alongside the 2020 NERDS Organizing Committee, is pleased to announce that we will be hosting a series of virtual webinars (Nov-Dec) focused on the current state of statistical and clinical research in rare disease drug development. We had a very successful NERDS 2019 event last year on Oct 11, where we […]
– An Introduction to the UConn Statistics Cluster (November 2, 2020)
Seminar II: Only for all Graduate Students in the Statistics Department Time and Place: November 2, 4:40 pm — 5:30 pm Speaker: Daniel Parther, Administrator for the Statistics Computer Cluster Title: An Introduction to the UConn Statistics Cluster Abstract: The statistics computer cluster is available to the faculty and graduate students of the statistics department […]
2020 UConn Sports Analytics Symposium (October 10)
The UConn Sports Analytics Symposium (UCSAS) focuses specifically on students (graduate, undergraduate, and high school) who are interested in sports analytics. Organized by the UConn Statistical Data Science Lab of the Department of Statistics UCSAS aims to: 1) showcase sports analytics to students at an accessible level; 2) train students in data analytics with application […]
Paper of the Month: October 2020
Bollerslev, T. (1986) Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 31, 307–327.