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  Bayesian parameter estimation for stochastic models of biological cell migration

Dieterich, P., & Preuss, R. (2013). Bayesian parameter estimation for stochastic models of biological cell migration. In U. v. Toussaint (Ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (pp. 16-22). Melville, TN: American Institute of Physics.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-E244-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-E245-9
Genre: Book Chapter

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 Creators:
Dieterich, P.1, Author
Preuss, R.2, Author           
Affiliations:
1Institut für Physiologie, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307 Dresden, Germany, ou_persistent22              
2Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              

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Free keywords: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, 2012-07-15 to 2012-07-20
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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 671463
DOI: 10.1063/1.4819978
URI: http://dx.doi.org/10.1063/1.4819978
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Title: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Source Genre: Book
 Creator(s):
Toussaint, U. von1, Editor           
Affiliations:
1 Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856327            
Publ. Info: Melville, TN : American Institute of Physics
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 16 - 22 Identifier: ISBN: 978-0-7354-1179-1

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Title: AIP Conference Proceedings
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Pages: - Volume / Issue: 1553 Sequence Number: - Start / End Page: - Identifier: -