By Jérôme Idier
regrettably, such a lot inverse difficulties are ill-posed, this means that exact and strong suggestions usually are not effortless to plan. Regularization is the major proposal to resolve inverse problems.
The objective of this publication is to house inverse difficulties and regularized recommendations utilizing the Bayesian statistical instruments, with a selected view to sign and photo estimation.
the 1st 3 chapters convey the theoretical notions that give the opportunity to solid inverse difficulties inside a mathematical framework. the subsequent 3 chapters deal with the elemental inverse challenge of deconvolution in a complete demeanour. Chapters 7 and eight care for complicated statistical questions associated with photo estimation. within the final 5 chapters, the most instruments brought within the prior chapters are positioned right into a functional context in vital applicative components, comparable to astronomy or scientific imaging.
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Extra resources for Bayesian Approach to Inverse Problems
Bayesian Approach to Inverse Problems by Jérôme Idier