In this paper, the concept of asymptotic pointwise optimality in a single sequence of random variables provided by Bickel and Yahav [Bickel, P.J., Yahav, J.A., 1967. Asymptotically pointwise optimal procedures in sequential analysis. In: Proc Fifth Berkeley Symp. Math Statist. Prob. 1. University of California Press, pp. 401-413] is extended to more than one sequence of random variables. The Bayesian sequential estimation problem for one-parameter exponential families is considered and an asymptotically pointwise optimal rule, which includes a sequential allocation procedure and a stopping time, is provided. Some properties of asymptotic optimality are also obtained for the rules with and without using the prior information.
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
The Bayesian sequential estimation problem for an exponential family of processes is considered. Usi...
[[abstract]]The problem of Bayes sequential interval estimation of the mean of a normal distribution...
Four related problems are considered in this thesis. The first problem consists of determining an op...
Four related problems are considered in this thesis. The first problem consists of determining an op...
[[abstract]]The problem of sequential estimation of the mean with quadratic loss and fixed cost per ...
Empirical Bayes estimation, sequential components, asymptotically pointwise optimal, asymptotically ...
[[abstract]]The problem of Bayes sequential point estimation without using the prior information is ...
summary:In this article, a general problem of sequential statistical inference for general discrete-...
We consider adaptive sequential sampling policies in a Bayesian framework. Under the assumptions tha...
Asymptotically Bayes, Bayes sequential estimation, Empirical Bayes, Optimal sequential procedure, Tw...
Properties of sequential designs for nonlinear regression and related problems are investigated. One...
Properties of sequential designs for nonlinear regression and related problems are investigated. One...
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
The Bayesian sequential estimation problem for an exponential family of processes is considered. Usi...
[[abstract]]The problem of Bayes sequential interval estimation of the mean of a normal distribution...
Four related problems are considered in this thesis. The first problem consists of determining an op...
Four related problems are considered in this thesis. The first problem consists of determining an op...
[[abstract]]The problem of sequential estimation of the mean with quadratic loss and fixed cost per ...
Empirical Bayes estimation, sequential components, asymptotically pointwise optimal, asymptotically ...
[[abstract]]The problem of Bayes sequential point estimation without using the prior information is ...
summary:In this article, a general problem of sequential statistical inference for general discrete-...
We consider adaptive sequential sampling policies in a Bayesian framework. Under the assumptions tha...
Asymptotically Bayes, Bayes sequential estimation, Empirical Bayes, Optimal sequential procedure, Tw...
Properties of sequential designs for nonlinear regression and related problems are investigated. One...
Properties of sequential designs for nonlinear regression and related problems are investigated. One...
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
We consider the problem of sequential estimation of a random parameter under a controlled setting. U...
The Bayesian sequential estimation problem for an exponential family of processes is considered. Usi...
[[abstract]]The problem of Bayes sequential interval estimation of the mean of a normal distribution...