MAKOWSKI_ Mathematics_APR_2023.pdf (230.33 kB)
Where are we going with statistical computing? From mathematical statistics to collaborative data science
journal contribution
posted on 2023-06-10, 07:03 authored by Dominique MakowskiDominique Makowski, Philip D WaggonerThe field of statistical computing is rapidly developing and evolving. Shifting away from the formerly siloed landscape of mathematics, statistics, and computer science, recent advancements in statistical computing are largely characterized by a fusing of these worlds; namely, programming, software development, and applied statistics are merging in new and exciting ways. There are numerous drivers behind this advancement, including open movement (encompassing development, science, and access), the advent of data science as a field, and collaborative problem-solving, as well as practice-altering advances in subfields such as artificial intelligence, machine learning, and Bayesian estimation. In this paper, we trace this shift in how modern statistical computing is performed, and that which has recently emerged from it. This discussion points to a future of boundless potential for the field.
History
Publication status
- Published
File Version
- Published version
Journal
MathematicsISSN
2227-7390Publisher
MDPI AGExternal DOI
Issue
8Volume
11Page range
a1821 1-9Department affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-05-12First Open Access (FOA) Date
2023-05-12First Compliant Deposit (FCD) Date
2023-05-11Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC