The Adaptive Resolution Concept in Form-Free Distribution Estimation
Rainer Dieter Fischer · 1999
The ubiquitous ill-posed inverse problem of estimating a form-free distribution and the respective reliability given a set of noisy or incomplete data is solved with Bayesian probability theory by exploiting prior information. The method applies to problems where we do not have enough information to be able to characterize the distribution by a specific type of functional model or do not have enough confidence in functions with a few specific parameters. The price for the flexibility to allow for any conceivable solution is a large number of variables.