dorsal/arxiv
View SchemaA Comparison of Two Approaches: Maximum Entropy on the Mean (MEM) and Bayesian Estimation (BAYES) for Inverse Problems
| Authors | A. Mohammad-Djafari |
|---|---|
| Categories | |
| ArXiv ID | physics/0111122 |
| URL | https://arxiv.org/abs/physics/0111122 |
Abstract
To handle with inverse problems, two probabilistic approaches have been proposed: the maximum entropy on the mean (MEM) and the Bayesian estimation (BAYES). The main object of this presentation is to compare these two approaches which are in fact two different inference procedures to define the solution of an inverse problem as the optimizer of a compound criterion. Keywords: Inverse problems, Maximum Entropy on the Mean, Bayesian inference, Convex analysis.
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"abstract": "To handle with inverse problems, two probabilistic approaches have been\nproposed: the maximum entropy on the mean (MEM) and the Bayesian estimation\n(BAYES). The main object of this presentation is to compare these two\napproaches which are in fact two different inference procedures to define the\nsolution of an inverse problem as the optimizer of a compound criterion.\nKeywords: Inverse problems, Maximum Entropy on the Mean, Bayesian inference,\nConvex analysis.",
"arxiv_id": "physics/0111122",
"authors": [
"A. Mohammad-Djafari"
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"title": "A Comparison of Two Approaches: Maximum Entropy on the Mean (MEM) and Bayesian Estimation (BAYES) for Inverse Problems",
"url": "https://arxiv.org/abs/physics/0111122"
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