Online Program Home
My Program

Abstract Details

Activity Number: 196 - SPEED: Teaching Statistics: Strategies and Applications
Type: Contributed
Date/Time: Monday, July 30, 2018 : 10:30 AM to 11:15 AM
Sponsor: Section on Statistical Education
Abstract #332940
Title: Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Author(s): Andrew Hoegh*
Companies: Montana State University
Keywords: R Markdown; Computing; Data Science; Programming; R
Abstract:

Since the arrival of computers and statistical programming languages in the early 1970s, there has been tension between mathematical statistics and computing. John Tukey, perhaps optimistically, foresaw a `peaceful collision' between statistics and computing; however, in hindsight this was more of a missed opportunity as the reluctance to `moderate the romance with mathematics' and fully embrace computing has, arguably, lead to the development of many fields that run parallel or partially include statistics. This article will take a historical look at the interaction between statistics and computing while highlighting that a different path would have lead to a different field of modern statistics. Furthermore, the article will examine the current state of computing in statistics and make recommendations for the future.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program