Bayesian look ahead one|stage sampling allocations for selection of ...

Bayesian look ahead one-stage sampling allocations for selection of ...

The problem of interest treated here is how to allocate these m observations in an optimum way among the k populations, given all of the information.

Bayesian look ahead one stage sampling allocations for selecting ...

From two independent normal populations with unknown means and a common known variance, samples of unequal sizes are observed at stage 1. The goal is to fi.

Untitled - Department of Statistics - Purdue University

BAYESIAN LOOK AHEAD ONE STAGE SAMPLING ALLOCATIONS. FOR SELECTING THE LARGEST OF k ≥ 3 NORMAL MEAN* by. Shanti S. Gupta and. Klaus J. Miescke. Purdue ...

Bayesian look ahead one stage sampling allocations for selecting ...

Looking ahead one stage using the expected posterior Bayes risk, given all ob- servations collected so far, does not only lead the way to an optimum allocation ...

Bayes Sampling Designs for Selection Procedures - DTIC

Bayesian look ahead one-stage sampling allocations for selection of the best population. J Statist Plann Inf. 54:229-244, 1996a. SS Gupta, KJ Miescke ...

Consistency of Sequential Bayesian Sampling Policies

One may make a series of measurements before mak- ing the final selection. ... Gupta and K.J. Miescke, Bayesian look ahead one-stage sampling allocations for ...

Lookahead Contraction Policies for Bayesian Ranking and ...

We propose and evaluate novel sampling policies for a Bayesian ranking and selection problem with pairwise ... “Bayesian Look Ahead One-Stage Sampling Allocations ...

[PDF] Simple Bayesian Algorithms for Best Arm Identification

... allocation when more than a few dozen samples are allocated ... Bayesian look ahead one-stage sampling allocations for selection of the best population.

Consistency of sequential bayesian sampling policies

One may make a series of measurements before mak- ing the final selection. ... Gupta and K.J. Miescke, Bayesian look ahead one-stage sampling allocations for se-.

BAYESIAN SAMPLING ALLOCATIONS TO SELECT THE BEST ...

... stage 2, are derived under the linear and the 0–1 loss. View. Show abstract. Bayesian Look Ahead One-stage Sampling Allocations for Selection of the Best ...

Efficient Sampling Policy for Selecting a Good Enough Subset - arXiv

Gupta and K. J. Miescke, “Bayesian look ahead one-stage sampling allocations for selection of the best population,” Journal of statistical.

Bayesian Optimization via Simulation with Pairwise Sampling and ...

... sample using a Bayesian value of ... Gupta SS, Miescke KJ (1996) Bayesian look ahead one-stage sampling allocations for selection of the best population.

Improving the Knowledge Gradient Algorithm

Bayesian look ahead one stage sampling allocations for selecting the largest normal mean. Statistical Papers, 35(1):169–177, 1994. [20] P. I. Frazier, W. B. ...

Talks

of Mathematics, "Bayesian look ahead one stage sampling allocations for selection procedures," June 1992. 35. Univ. of Wisconsin, Platteville, Dept. of ...

SEQUENTIAL SAMPLING FOR BAYESIAN ROBUST RANKING ...

INFORMS Journal on Computing 21 (4): 599–613. Gupta, S. S., and K. J. Miescke. 1996. “Bayesian Look Ahead One-Stage Sampling Allocations for Selection of the ...

Efficient Sampling Allocation Procedures for Optimal Quantile ...

Bayesian look ahead one-stage sampling allocations for selection of the best population. Gupta, Shanti S.; Miescke, Klaus J. Journal of Statistical Planning ...

A Knowledge-Gradient Policy for Sequential Information Collection

9 Excerpts. Bayesian look ahead one-stage sampling allocations for selection of the best population · S. GuptaK. Miescke. Mathematics. 1996. 178 Citations.

Bayesian Sparse Sampling for On-line Reward Optimization

Our idea is to exploit information in the posterior to make in- telligent action selection decisions during lookahead sim- ulation, rather than simply ...

Bayesian Sparse Sampling for On-line Reward Optimization

Our idea is to exploit information in the posterior to make in- telligent action selection decisions during lookahead sim- ulation, rather than simply ...

Asymptotic Optimality of Sequential Sampling Policies for Bayesian ...

from samples of one measurement type allowing inference about the sampling ... Bayesian look ahead one-stage sampling allocations for selection of ...