On the Importance of α Marginalization in Maximum Entropy

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Abstract

The correct entropic prior, computed by marginalization over the reg- ularization parameter a, is used to invert photoemission data and to restore the famous “Susie” image. Comparison with the conventional maximum entropy procedure shows less overfitting of noise and demonstrates the residual ringing which is intrinsic to ill-posed inversion problems. An improvement to the steepest descent approximation reveals the reason for the overfitting. On top of that, the correct treatment of the regularization parameter is vital for the existence of the continuum-limit of MaxEnt.
Original languageEnglish
Title of host publicationMaximum Entropy and Bayesian Methods
EditorsKenneth M. Hanson, Richard N. Silver
PublisherSpringer Netherlands
Pages229-236
Number of pages8
ISBN (Print)978-94-010-6284-8 978-94-011-5430-7
Publication statusPublished - 1996

Publication series

NameFundamental Theories of Physics
PublisherSpringer Netherlands

Keywords

  • Electrical Engineering, Entropic Prior, Image Processing, Inverse Problem, Physics, general, Probability Theory and Stochastic Processes, Regularization, Statistical Physics, Dynamical Systems and Complexity, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general

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