Selection of the Most Probable Best

[2207.07533] Selection of the Most Probable Best - arXiv

We define the most probable best (MPB) to be the solution that has the largest probability of being optimal with respect to the distribution and ...

Selection of the Most Probable Best Under Input Uncertainty

We consider a ranking and selection problem whose configuration depends on a common input model estimated from finite real-world observations.

[PDF] Selection of the Most Probable Best | Semantic Scholar

The most probable best (MPB) is defined to be the solution that has the largest probability of being optimal with respect to the distribution and an ...

Selection of the Most Probable Best

Abstract: In many business applications, simulation is the primary decision-making tool for a complex stochastic system, where an analytical ...

(PDF) Selection of the Most Probable Best - ResearchGate

Given that the uncertainty of the input model is captured by a probability simplex on a finite support, we define the most probable best (MPB) ...

Selection of the most probable best under input uncertainty

Taking the Bayesian view, the most probable best is defined as the solution whose posterior probability of being the best is the largest given the real-world ...

Optimal Selection of the Most Probable Multinomial Alternative - CDN

Abstract: Multinomial selection is concerned with selecting the most probable (best) multinomial alternative. The alternatives compete in a number of ...

Optimizing Input Data Acquisition for Ranking and Selection

To optimize input data acquisition, we first show that the most probable best (MPB)―the solution with the largest posterior probability of being optimal ( ...

Selection of the Most Probable Best | AI Research Paper Details

The authors define the "most probable best" (MPB) as the solution with the highest probability of being optimal given the parameter distribution ...

Selection of the most probable best - YouTube

This presentation was given by Eunhye Song of Georgia Tech as part of the INFORMS Junior Faculty Interest Group webinar series.

Optimal Selection of the Most Probable Multinomial Alternative

Abstract: Multinomial selection is concerned with selecting the most probable (best) multinomial alternative. The alternatives compete in a number of ...

Optimal Selection of the Most Probable Multinomial Alternative

A long-standing research goal has been to find a procedure that minimizes the expected number of trials subject to a lower bound on the probability of correct ...

Optimal Selection of the Most Probable Multinomial Alternative

Request PDF | Optimal Selection of the Most Probable Multinomial Alternative | Multinomial selection is concerned with selecting the most probable (best) ...

Optimizing Input Data Acquisition for Ranking and Selection

To optimize input data acquisition, we first show that the most probable best (MPB)-the solution with the largest posterior probability of being optimal ( ...

Empirical Bayes rules for selecting the most and least probable ...

A category associated with si = s[k] (or si = s[1]) is considered as the most (or the least) probable event. We are interested in selecting the most and the ...

Selecting the Best when Selection is Hard - Nuffield College

In the second stage, the agents are no longer symmetric: The first-stage winner is both more likely to be more able and is advantaged by the ...

[PDF] Best-First AND/OR Search for Most Probable Explanations

The main contribution of this paper is in showing that a recent extension of AND/OR search algorithms from depth-first Branch-and-Bound to best-first is ...

On Selecting the Most Probable Category - jstor

(1.7). Empirical values of Pk and Vk , the probability of a correct selection and expected sample size, respectively, were obtained for the ...

How to choose best option overall? - Mathematics Stack Exchange

1 Answer 1 ... So if you get to the third stage, your expected rank chosen is (54+52+52)/3=2512. ... so you will not choose the second if it is ...

Seminar by Eunhye Song | Statistics and Actuarial Science

Under this type of model risk, this talk discusses a new decision-making framework in the context of simulation optimization, the most probable best (MPB), is ...