Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Beschreibung

Bayesian inference and maximum entropy methods are central points of new scientific inference in mathematical physics and in all inverse problems in engineering and all probabilistic data analysis. This volume contains peer-reviewed selection of the papers presented at this international workshop. Topics included are: axiomatics and concepts, bayesian parameter estimation, algorithms for bayesian computation, deconvolution and source separation, quantum tomography, tomographic imaging and image processing, as well as bayesian inference in applications.

Autor*in

Ali Mohammad-Djafari

Themen in »Bayesian Inference and Maximum Entropy Methods in Science and Engineering«

Angewandte Mathematik Inference methods Komplexe Systeme Wahrscheinlichkeitstheorie approximations complex systems probability theory

Stimmen zu »Bayesian Inference and Maximum Entropy Methods in Science and Engineering«

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