Maximum penalized likelihood estimation and smoothed em algorithms for positive integral equatioins of the first kind

DOI10.1080/01630569608816722zbMath0885.62043OpenAlexW1537288317MaRDI QIDQ4354830

Vincent N. La Riccia, Paul P. B. Eggermont

Publication date: 29 April 1998

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01630569608816722

zbMATH Keywords

regularizationEM algorithmpositive solutionsnonlinear smoothingmaximum penalized likelihood estimation

Mathematics Subject Classification ID

Density estimation (62G07) Fredholm integral equations (45B05) Linear integral equations (45A05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (3)

Deconvolution and regularization for numerical solutions of incorrectly posed problems ⋮ On photon correlation measurements of colloidal size distributions using Bayesian strategies. ⋮ EM Algorithms

Cites Work

• Unnamed Item
• On a class of nonparametric density and regression estimators
• Consistency of two nonparametric maximum penalized likelihood estimators of the probability density function
• Maximum smoothed likelihood density estimation for inverse problems
• On properties of the iterative maximum likelihood reconstruction method
• A Statistical Model for Positron Emission Tomography
• Nonparametric Roughness Penalties for Probability Densities

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