Abstract
We propose a two-parameter family of conjugate prior distributions for the number of undiscovered objects in a class of Bayesian search models. The family contains the one-parameter Euler and Heine families as special cases. The two parameters may be interpreted respectively as an overall success rate and a rate of depletion of the source of objects. The new family gives enhanced flexibility in modelling.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Statistics and Probability
Reference4 articles.
1. Gittins indices and oil exploration;Benkherouf;J. R. Statist. Soc.,1992
2. Oil exploration: sequential decisions in the face of uncertainty
3. Search models
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. PROBABILITY MODELS FOR SEQUENTIAL-STAGE SYSTEM RELIABILITY GROWTH VIA FAILURE MODE REMOVAL;International Journal of Reliability, Quality and Safety Engineering;2003-03
2. A Class of Bayesian Models for Optimal Exploration;Journal of the Royal Statistical Society: Series B (Methodological);1995-11