Model Selection for Fitting is the academic process of identifying the most appropriate functional form or mathematical structure from a set of candidate models to optimally represent the underlying relationship in observed data while balancing goodness-of-fit and generalization.
74
Publications
9K
Citations
171
Authors
115
Institutions
Publications per year
2017–2026
15
Parents
Publications
74
1–5 of 74
Authors
171
- JS
2
h-index
- JF
2
h-index
- SS
2
h-index
- RP
2
h-index
- PR
2
h-index
1–5 of 171
Institutions
115
Stanford University
Stanford, United States
3 h-index
3 publications
63 citations
University of Oxford
Oxford, United Kingdom
3 h-index
6 publications
191 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
431 citations
University of Florence
Florence, Italy
2 h-index
6 publications
110 citations
University of California, Davis
Davis, United States
2 h-index
2 publications
116 citations
University of Kansas
Lawrence, United States
2 h-index
3 publications
1.2K citations
University of Illinois System
Urbana, United States
2 h-index
2 publications
2.6K citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
79 citations
1–8 of 115
Venues
- Journal of Mathematical Psychology
3 publications · 850 citations
3
h-index
- Chemometrics and Intelligent Laboratory Systems
3 publications · 57 citations
3
h-index
- Expert Systems with Applications
2 publications · 63 citations
2
h-index
- The Stata Journal Promoting communications on statistics and Stata
2 publications · 70 citations
2
h-index
- Biometrika
2 publications · 186 citations
2
h-index
1–5