23 Feb
2021
23 Feb
'21
8:43 a.m.
Please join us for the next Journal of Statistics and Data Science Education webinar
Tuesday, February 23rd at 4:00 PM ET.
Title: Bayesian Methods and the Statistics and Data Science Curriculum
Presenters: Jingchen (Monika) Hu (Vassar College), Kevin Ross (Cal Poly - San Luis
Obispo), & Colin Rundel (University of Edinburgh/Duke)
Date and Time: Tuesday, Feb 23, 2021 04:00 PM Eastern Time (US and Canada)
Abstract:
The Journal of Statistics and Data Science Education recently published a cluster of
papers on Bayesian methods
(https://www.tandfonline.com/toc/ujse20/28/3?nav=tocList<https://nam10.sa…)mp;reserved=0>).
The Bayesian cluster includes a presentation of how and why Bayesian ideas should be added
to the curriculum; guidance on how to structure a semester-long Bayesian course for
undergraduates; a discussion of the ever-evolving nature of Bayesian computing; a book
review; and a panel interview of several Bayesian educators. For the February CAUSE/JSDSE
webinar series, we’ve invited several authors of these provocative and informative
articles to describe their work and its implications for statistics and data science
education.
Jingchen (Monika) Hu is an Assistant Professor of Mathematics and Statistics at Vassar
College. She teaches an undergraduate-level Bayesian Statistics course at Vassar, which is
shared online across several liberal arts colleges. Her research focuses on dealing with
data privacy issues by releasing synthetic data.
Kevin Ross is an Associate Professor of Statistics at Cal Poly San Luis Obispo. His
research interests include probability, stochastic processes and applications as well as
probability and statistics education.
Colin Rundel is a lecturer at the University of Edinburgh and an assistant professor of
the practice in Statistical Science at Duke University. His research interests include
applied spatial statistics with an emphasis on Bayesian statistics and computational
methods.
Registration link: https://psu.zoom.us/webinar/register/WN_36pR2co_QYqtuyMi-VboFQ