Estimating nonparametric convex functions using gradient data

DOI10.1016/0377-2217(89)90040-4zbMath0723.90046OpenAlexW2033372794MaRDI QIDQ2276875

Malachy Carey

Publication date: 1989

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(89)90040-4

zbMATH Keywords

function estimatorsgradient datanonparametric convex functions

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05) Applications of mathematical programming (90C90) Production theory, theory of the firm (91B38) Statistical methods; economic indices and measures (91B82) Consumer behavior, demand theory (91B42) Operations research and management science (90B99)

Cites Work

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• Measuring the efficiency of decision making units
• The Nonparametric Approach to Demand Analysis
• The Nonparametric Approach to Production Analysis
• Computing Market Equilibria with Price Regulations Using Mathematical Programming
• Computational Experience in Solving Equilibrium Models by a Sequence of Linear Complementarity Problems
• Note—A Note on Least Squares Fitting of Functions Constrained to be Either Nonnegative, Nondecreasing or Convex
• Technical Note—On the Estimation of Convex Functions