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Likelihood robust optimization for data-driven problems
Zizhuo Wang
, Peter W. Glynn
, Yinyu Ye
Industrial and Systems Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
132
Scopus citations
Overview
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Keyphrases
Asymptotic Behavior
50%
Bayesian Statistics
50%
Conservativeness
50%
Decision-making Problem
50%
Distribution Set
100%
Distributionally Robust
50%
Distributionally Robust Optimization
100%
Empirical Likelihood
50%
Historical Data
100%
Input Distribution
50%
Likelihood Theory
50%
Mean-variance
50%
Newsvendor Problem
50%
Optimal Decision
50%
Portfolio Optimization
50%
Robust Approach
50%
Robust Optimization
100%
Statistical Analysis
50%
Target Problem
50%
Uncertain Environment
50%
Worst-case Distribution
50%
Mathematics
Apply It
50%
Asymptotic Behavior
50%
Bayes Theorem
50%
Conservativeness
50%
Empirical Likelihood
50%
Historical Data
100%
Likelihood Theory
50%
Mean Variance
50%
Objective Function
50%
Observed Data
50%
Optimal Decision
50%
Statistical Analysis
50%
Test Result
50%
Worst Case
50%