EM Algorithms from a Non-stochastic Perspective

DOI10.1007/978-1-4939-0790-8_46zbMath1333.62065OpenAlexW1523626536MaRDI QIDQ2789806

Charles L. Byrne

Publication date: 2 March 2016

Published in: Handbook of Mathematical Methods in Imaging (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4939-0790-8_46

Mathematics Subject Classification ID

Cites Work

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• On the convergence properties of the EM algorithm
• Maximum smoothed likelihood density estimation for inverse problems
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• On Block-Iterative Entropy Maximization
• Iterative algorithms for deblurring and deconvolution with constraints
• Accelerating the EMML algorithm and related iterative algorithms by rescaled block-iterative methods
• A Statistical Model for Positron Emission Tomography
• Generalized Iterative Scaling for Log-Linear Models
• On Information and Sufficiency

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