On Bayesian analysis and computation for functions with monotonicity and curvature restrictions

DOI10.1016/J.JECONOM.2007.08.018zbMath1418.62519OpenAlexW2017842080MaRDI QIDQ290975

William J. McCausland

Publication date: 3 June 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2007.08.018

zbMATH Keywords

Bayesian methodsflexible functional formsconsumer demandshape restrictions

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bayesian inference (62F15) Consumer behavior, demand theory (91B42)

Cites Work

• The Müntz-Szatz demand system. An application of a globally well behaved series expansion
• Likelihood-based inference for regular functions with fractional polynomial approximations
• Imposing curvature restrictions on flexible functional forms
• On the bias in flexible functional forms and an essentially unbiased form. The Fourier flexible form
• Direct computation of the simultaneous Stone-Weierstrass approximation of a function and its partial derivatives in Banach spaces, and combination with Hermite interpolation
• Approximation of convex preferences
• Adaptive radial-based direction sampling: some flexible and robust Monte Carlo integration methods
• Seminonparametric Bayesian estimation of the asymptotically ideal production model
• Sulle stratificazioni convesse
• Flexible Functional Forms and Global Curvature Conditions
• A Theory of Rational Random Behavior
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
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