Exploring the Accuracy of Joint-Distribution Approximations Given Partial Information-Reference-Cited by-同舟云学术

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Exploring the Accuracy of Joint-Distribution Approximations Given Partial Information

Published:2019-02-17 Issue:4 Volume:64 Page:323-345
ISSN:0013-791X
Container-title:The Engineering Economist
language:en
Short-container-title:The Engineering Economist

Author:

Montiel Luis V.¹,Bickel J. Eric²

Affiliation:

1. Department of Operations Research and Industrial Engineering, ITAM, Río Hondo 1, Mexico City, Mexico;

2. Graduate Program in Operations Research & Industrial Engineering, The University of Texas at Austin, 1 University Station C2200, Austin, TX, USA

Funder

National Council of Science and Technology of Mexico

National Science Foundation

Consejo Nacional de Ciencia y Tecnología;

Publisher

Informa UK Limited

Subject

Economics and Econometrics,General Engineering,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/0013791X.2018.1512692

Reference18 articles.

1. Optimal Sequential Exploration: A Binary Learning Model

2. Convex Optimization

3. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming

4. Information Theory and Statistical Mechanics

5. Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data

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1. Camera Pose Optimization for 3D Mapping;IEEE Access;2023

2. Active Mapping and Robot Exploration: A Survey;Sensors;2021-04-02

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