Nonparametric maximum likelihood estimation of a probability density via mathematical programming

DOI10.1007/BF01893383zbMath0498.62038MaRDI QIDQ1171344

S. Singh

Publication date: 1982

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/175861

zbMATH Keywords

Sobolev spaceconsistencymaximum likelihood estimationHilbert spacedensity estimationpolynomial spline function

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Applications of mathematical programming (90C90) Linear programming (90C05) Programming in abstract spaces (90C48) Existence theories for problems in abstract spaces (49J27)

Related Items

Sharp rates of convergence of maximum likelihood estimators in nonparametric models

Cites Work

• Nonparametric maximum likelihood estimation of probability densities by penalty function methods
• A Review of Some Non-parametric Methods of Density Estimation
• Nonparametric Roughness Penalties for Probability Densities
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