Predictive Design is a Bayesian experimental design framework that selects experiments to optimize the predictive accuracy of future observations by explicitly accounting for the probabilistic dependence between design choices and posterior predictive distributions.
203
Publications
11.5K
Citations
770
Authors
332
Institutions
Publications per year
2017–2026
83
Parents
Publications
203
Screening, Predicting, and Computer Experiments
William J. Welch, R. Buck, Jerome Sacks et al. · Technometrics · 1992 · 632 citations
1–5 of 203
Authors
770
- AR
3
h-index
- AM
3
h-index
- WJW J Kenis
3 publications · 82 citations
3
h-index
- MD
3
h-index
- DW
3
h-index
1–5 of 770
Institutions
332
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
10 publications
459 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
31 publications
1.5K citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
17 publications
242 citations
Cornell University
Ithaca, United States
4 h-index
7 publications
982 citations
Northwestern University
Evanston, United States
4 h-index
15 publications
473 citations
Oak Ridge National Laboratory
Oak Ridge, United States
4 h-index
9 publications
2K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
16 publications
2.3K citations
Arizona State University
Tempe, United States
4 h-index
8 publications
360 citations
1–8 of 332
Venues
- Nature Communications
4 publications · 434 citations
4
h-index
- Journal of Occupational and Organizational Psychology
3 publications · 295 citations
3
h-index
- Journal of Mechanical Design
3 publications · 294 citations
3
h-index
- Technometrics
3 publications · 978 citations
3
h-index
- Biometrika
2 publications · 111 citations
2
h-index
1–5