Bayesian C-Optimal Design is a Bayesian experimental design criterion that selects designs maximizing the precision of a specific scalar function of the model parameters by minimizing the trace of the inverse Fisher information matrix weighted by a prior distribution.
12
Publications
491
Citations
18
Authors
20
Institutions
Publications per year
2017–2026
1
Parents
Publications
12
Bayesian Conjoint Choice Designs for Measuring Willingness to Pay
Bart Vermeulen, Peter Goos, Riccardo Scarpa et al. · Environmental and Resource Economics · 2010 · 55 citations · Full text
1–5 of 12
Authors
18
- HD
2
h-index
- PG
2
h-index
- WJ
1
h-index
- SR
1
h-index
- AR
1
h-index
1–5 of 18
Institutions
20
KU Leuven
Leuven, Belgium
2 h-index
3 publications
135 citations
University of Antwerp
Antwerp, Belgium
2 h-index
2 publications
80 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
2 h-index
4 publications
130 citations
Merck & Co., Inc., Rahway, NJ, USA (United States)
Rahway, United States
1 h-index
1 publications
119 citations
Umkhuseli Innovation and Research Management
Pietermaritzburg, South Africa
1 h-index
1 publications
119 citations
The University of Western Australia
Perth, Australia
1 h-index
1 publications
55 citations
University of Maryland, Baltimore County
Baltimore, United States
1 h-index
2 publications
238 citations
Indian Institute of Management Kozhikode
Kozhikode, India
1 h-index
1 publications
12 citations
1–8 of 20
Venues
- The Annals of Statistics
2 publications · 72 citations
2
h-index
- Statistics
1 publications · 17 citations
1
h-index
- Journal of the Royal Statistical Society Series C (Applied Statistics)
1 publications · 25 citations
1
h-index
- Computational Optimization and Applications
1 publications · 12 citations
1
h-index
- Environmental and Resource Economics
1 publications · 55 citations
1
h-index
1–5