num_pages: 589
description: 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 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.
language: English
title: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 26th International Workshop on Bayesian Inference and Maximum Entropy ... / Mathematical and Statistical Ph)
titlecomplete: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 26th International Workshop on Bayesian Inference and Maximum Entropy ... / Mathematical and Statistical Ph)
publisher: American Institute of Physics