Benjamini, Y. (2020). Selective Inference: The Silent Killer of Replicability. Harvard Data Science Review, 2(4).
Events
Interdisciplinary Seminar: David Dunson, Duke University
“Bayesian Pyramids: Identifying Interpretable Deep Structure Underlying High-dimensional Data,” presented by Dr. David Dunson, Duke University
Interdisciplinary Seminar: Edward Ip, Wake Forest University
“Partially Ordered Responses and Applications,” presented by Dr. Edward Ip, Wake Forest University
– Statistics Alumni Panel For Undergraduate Students (February 11, 2021)
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 […]