Bayesian nonparametric statistical inference for Poisson point processes

Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete

Volumn 59, Issue 1, 1982, Pages 55-66

  Lo, Albert Y ^a,b  

^a RUTGERS UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0007185175     PISSN: 00443719     EISSN: 14322064     Source Type: Journal    
DOI: 10.1007/BF00575525     Document Type: Article

References (24)

1. Nonparametric inference for a family of counting processes
2. Consistency a posteriori
3. Convergence criteria for multiparameters stochastic processes and some applications
4. Statistical analysis of non-homogeneous Poisson point processes
5. Bayes linear estimators of the intensity function of the nonstationary Poisson process
6. On the limiting normality of posterior distributions
7. Tailfree and neutral random probabilities and their posterior distributions
8. A Bayesian nonparametric approach to reliability
9. Asymptotic behavior of Bayes' estimates
10. A Bayesian analysis of some nonparametric problems
11. On the asymptotic behavior of Bayes estimates in the discrete case
12. Counting measures monotone random set funcitons
13. Asymptotic expansions associated with posterior distributions
14. Les propriétés asymptotiques des solutions des Bayes
15. On some asymptotic properties of maximum likelihood estimates and related Bayes estimates
16. Recent results in the statistical analysis of univariate point processes
17. Some contributions to Bayesian nonparametric statistical inference
18. Convergence of random processes and limit theorems in probability theory
19. On the asymptotic behavior of posterior distributions