We will show how to unify maximum entropy (MaxEnt) and maximum likelihood (MaxLik) principles into a unique concept overcoming the above mentioned problems. The MaxLik estimation assisted by MaxEnt is capable to handle any noisy data and to provide the most likely and most unbiased solution without any additional assumptions. In this sense it posseses all the features of objective inference method for solution of inverse problems of various kind. Since the given number and precision of the scans can yield only a finite resolution in the sample, the MaxLik assisted by MaxEnt estimation will be adopted for the formulation of the sampling theorem.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Maximum entropy assisted maximum likelihood inversion


    Contributors:
    Rehacek, J. (author) / Hradil, Z. (author)


    Publication date :

    2005-01-01


    Size :

    276633 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Maximum likelihood autocalibration

    Heinrich, S. B. / Snyder, W. E. / Frahm, J. M. | British Library Online Contents | 2011


    Maximum-likelihood data decoder

    Alberda, M. E. | NTRS | 1979


    MAXIMUM-LIKELIHOOD GPS PARAMETER ESTIMATION

    Progri, I. F. / Bromberg, M. C. / Michalson, W. R. | British Library Online Contents | 2005


    Maximum-Likelihood Parameter-Estimation Algorithm

    Eldred, D. B. / Hamidi, M. / Rodriguez, G. | NTRS | 1986


    MAXIMUM-LIKELIHOOD GPS PARAMETER ESTIMATION

    Progri, Ilir F. | Online Contents | 2005