Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures.
David J. EckmanShane G. HendersonPublished in: INFORMS J. Comput. (2022)
Keyphrases
- stopping rules
- posterior distribution
- posterior probability
- bayesian networks
- ranking algorithm
- bayesian framework
- probability distribution
- learning to rank
- parameter estimation
- bayesian inference
- maximum likelihood
- precision and recall
- probabilistic model
- stochastic systems
- ranking functions
- state space
- confidence intervals
- markov chain monte carlo
- lower bound