Bayesian Estimation Applied to Stochastic Localization with Constraints due to Interfaces and Boundaries

URN to cite this document:: urn:nbn:de:bvb:355-epub-296349
DOI to cite this document:: 10.5283/epub.29634

Hoegele, Wolfgang ; Loeschel, Rainer ; Dobler, Barbara ; Koelbl, Oliver ; Zygmanski, Piotr

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Date of publication of this fulltext: 20 Mar 2014 10:06

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Abstract

Purpose. We present a systematic Bayesian formulation of the stochastic localization/triangulation problem close to constraining interfaces. Methods. For this purpose, the terminology of Bayesian estimation is summarized suitably for applied researchers including the presentation of Maximum Likelihood (ML), Maximum A Posteriori (MAP), and Minimum Mean Square Error (MMSE) estimation. Explicit ...