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

Hoegele, Wolfgang, Loeschel, Rainer, Dobler, Barbara, Koelbl, Oliver and Zygmanski, Piotr (2013) Bayesian Estimation Applied to Stochastic Localization with Constraints due to Interfaces and Boundaries. Mathematical Problems in Engineering 2013.

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

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Other URL: http://www.hindawi.com/journals/mpe/2013/960421/


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 ...

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Item type:Article
Date:2013
Institutions:Medicine > Lehrstuhl für Strahlentherapie
Projects:Open Access Publizieren (DFG)
Identification Number:
ValueType
10.1155/2013/960421DOI
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:29634
Owner only: item control page

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