Bayesian Approach to Hypothesis Testing in Ill-Posed Inverse Problems

The core message of this paper is to develop a Bayesian approach for testing hypotheses about specific features of the unknown quantity of interest in statistical inverse problems, using the maximum a posteriori (MAP) test.