Optimal Product Design by Sequential Experiments in High Dimensions-Reference-Cited by-同舟云学术

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Optimal Product Design by Sequential Experiments in High Dimensions

Published:2019-07 Issue:7 Volume:65 Page:3235-3254
ISSN:0025-1909
Container-title:Management Science
language:en
Short-container-title:Management Science

Author:

Joo Mingyu¹^ORCID,Thompson Michael L.²,Allenby Greg M.³^ORCID

Affiliation:

1. School of Business, University of California, Riverside, Riverside, California 92507;

2. The Procter & Gamble Company, Cincinnati, Ohio 45202;

3. Department of Marketing and Logistics, Fisher College of Business, Ohio State University, Columbus, Ohio 43210

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Reference27 articles.

1. Using Extremes to Design Products and Segment Markets

2. There Is No Aggregation Bias: Why Macro Logit Models Work

3. Genetic Algorithms for Product Design

4. Estimating Discrete-Choice Models of Product Differentiation

5. Optimal learning and experimentation in bandit problems

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