反问题的最大平均熵（MEM）和贝叶斯估计（BAYES）方法的比较
A Comparison of Two Approaches: Maximum Entropy on the Mean (MEM) and Bayesian Estimation (BAYES) for Inverse Problems
摘要：
为了处理逆问题，已经提出了两种概率方法：最大平均熵（MEM）和贝叶斯估计（BAYES）。本文的主要目的是比较这两种方法，这实际上是两种不同的推理程序来定义作为复合标准的优化器的反问题的解决方案。关键词：反问题，最大平均熵，贝叶斯推断，凸分析。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
