A bayesian approach to sequential estimation without using the
From MaRDI portal
Publication:4368896
DOI10.1080/07474949708836391zbMath0902.62095OpenAlexW1965372073MaRDI QIDQ4368896
Publication date: 15 December 1998
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474949708836391
Related Items (3)
Two-stage approach to Bayes sequential estimation in the exponential distribution ⋮ Explicit solutions of the Bayes sequential estimation problem for a time-transformed exponential distribution ⋮ Second-order approximations of a robust sequential procedure in Bayes sequential estimation
Cites Work
- Unnamed Item
- Statistical decision theory and Bayesian analysis. 2nd ed
- Sequential point estimation of the difference of two normal means
- Dynkin's identity applied to Bayes sequential estimation of a Poisson process rate
- A Bayesian approach to a problem in sequential estimation
- Multivariate sequential point estimation
- Bayesian sequential estimation
- Second order approximations for sequential point and interval estimation
- A nonlinear renewal theory with applications to sequential analysis. I
- Empirical Bayes sequential estimation fro exponential families: the untruncated component
- On empirical Bayes testing with sequential components
- On empirical bayes sequential estimation
- Empirical bayes methods in sequential estimation
- A.P.O. rules are asymptotically non deficient for estimation with squared error loss
- Empirical bayes sequential estimation of the mean
- Empirical bayes approach to bayes sequential estimation: the poisson and bernoulli cases
- A. P. O. rules in hierarchical and empirical bayes models
- Moments of Randomly Stopped Sums
- On the Convergence of Moments in the Central Limit Theorem
- Some contributions to the asymptotic theory of Bayes solutions
- Asymptotically Optimal Bayes and Minimax Procedures in Sequential Estimation
This page was built for publication: A bayesian approach to sequential estimation without using the