Bayesian Nonparametric Decision Making
Bayesian Nonparametric Decision Making is a decision-theoretic framework that extends Bayesian decision theory by employing nonparametric Bayesian models to flexibly adapt the complexity of the decision policy to the data, without assuming a fixed finite number of parameters.
5
Publications
121
Citations
11
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
5
1–5 of 5
11
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 11
11

Xi'an Jiaotong University
Xi'an, China
1 h-index
2 publications
60 citations
Columbia University
New York, United States
1 h-index
1 publications
47 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
2 publications
94 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
47 citations
Seoul National University
Seoul, South Korea
1 h-index
2 publications
22 citations
Universidad Nacional Autónoma de México
Mexico City, Mexico
1 h-index
1 publications
18 citations
University of Kent
Canterbury, United Kingdom
1 h-index
1 publications
18 citations

University of Bath
Bath, United Kingdom
1 h-index
1 publications
15 citations
1–8 of 11
1 publications · 30 citations
1
h-index
1 publications · 15 citations
1
h-index
TPAMI · 1 publications · 47 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5