Reanalyzing ultimatum bargaining - Comparing nondecreasing curves without shape constraints

Journal of Business and Economic Statistics

Volumn 20, Issue 3, 2002, Pages 423-430

  Fong, Duncan K H ^a   Pammer, Scott E ^a   Arnold, Steven F ^a   Bolton, Gary E ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Bayes factors; Dirichlet process prior; Gibbs sampling; Hierarchical Bayes; Metropolis Hastings algorithm; Response curves

Indexed keywords

EID: 0035998177     PISSN: 07350015     EISSN: None     Source Type: Journal    
DOI: 10.1198/073500102288618540     Document Type: Article

References (15)

1. Anonymity versus punishment in ultimatum bargaining
2. Marginal likelihood from the Gibbs output
3. A Bayesian sequential experimental study of learning in games
4. Economical experiments: Bayesian efficient experimental design
5. Ranking and estimation of related means in the presence of a covariate - A Bayesian approach
6. Analyzing ultimatum bargaining: A Bayesian approach to the comparison of two potency curves under shape constraints
7. Selecting the normal population with the normal population with the best regression value - A Bayesian approach
8. Nonparametric Bayesian bioassay including ordered polytomous response
9. Inference from iterative simulation using multiple sequences
10. Bayes factors
11. News from the lab
12. Approximate Bayesian inference with the weighted likelihood bootstrap
13. Bayesian approaches to the population modelling of a monotonic dose-response relation