Statistical Sciences ColloquiumDr. Mostafa Shams Teacher-Scholar Postdoctoral FellowWake Forest University Bayesian nonparametric regression models for insurance claims data 8 Oct. 11AM, ZSR Auditorium (Room 404) We often want to model insurance claims as a function of covariates, which leads to a regression problem. Parametric regression […]
DEPARTMENT OF STATISTICAL SCIENCES: Educating students to become leaders and advocates for sound statistical reasoning, and improve our society through innovative statistical and interdisciplinary research. VIRTUAL OPEN HOUSE: October 23, 6-8PM (Eastern) IN-PERSON OPEN HOUSE October 30, 6-8PM (Eastern) Hear about our program requirements, offerings, […]
Statistical Sciences ColloquiumDr. Mitchell Paukner, Assistant Professor of Biostatistics Wake Forest University Information Under the Curve: A Modern Approach to Leveraging Area Under Curves in Survival Analysis 24 Sept. — ZSR Auditorium (Room 404) In this talk, I will discuss several different methods I have […]
Our students have been busy this summer! A few of them were kind enough to share some highlights from their summer experiences. Bukola Emi-Johnson (MS Student in Statistics) 💼 This summer, Bukola worked for Syngenta, one of the world’s leading agricultural companies, as an IT […]
Applied Statistics: Abby Draeger In addition to completing her major in applied statistics, Draeger also completed a minor in computer science and mathematics. When about how she managed to complete such an ambitious workload, she smiled. Full article. Statistics: Hanna Vaidya Determined to pursue statistics, […]
Education, Collaboration, Leadership: It’s What We Do Leslie McClure, PhDDean, College for Public Health and Social Justice, St Louis UniversityBiotech Auditorium Room 151; Tuesday, April 16th 4:00pm The Merriam-Webster Dictionary defines a statistician as: “one versed in or engaged in compiling statistics.” However, the role […]
Flexible Regression Models for Dispersed CountData Kimberly Sellers, NC State University ZSR Auditorium, Tuesday, March 26th 11:00am Poisson regression is a popular tool for modeling count data and is applied in a vast array of disciplines. Real data, however, are often over- or under-dispersed relative […]
Travis Gerke, The Prostate Cancer Clinical Trials ConsortiumMalcolm Barrett, Stanford University ZSR Auditorium, Thursday, March 7th 12:30pm This talk will provide a high-level overview of causal diagrams and discuss current challenges with causal AI. An emerging software platform that enables collaborative human-in-the-loop causal identification and […]
Merging uncertainty sets via majority voteAaditya Ramdas, PhD, Carnegie Mellon UniversityTuesday, February 276h 11:00am Given K uncertainty sets that are arbitrarily dependent – for example, confidence intervals for an unknown parameter obtained with K different estimators, or prediction sets obtained via conformal prediction based on […]