Physical mixture modeling with unknown number of components

Fischer, R.; Dose, V.

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Physical mixture modeling with unknown number of components

Fischer, R., & Dose, V. (2002). Physical mixture modeling with unknown number of components. In R. Fry (Ed.), Bayesian Interference and Maximum Entropy Methods in Science and Engineering (pp. 143-154). Melville,NY: AIP Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-4475-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-4476-2

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Creators:
Fischer, R.^{1, 2}, Author
Dose, V.³, Author

Affiliations:
1Centre for Interdisciplinary Plasma Science (CIPS), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2074325
2Surface Science (OP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856288
3External Organizations, ou_persistent22

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Free keywords: 21st International Workshop on Bayesian Interference and Maximum Entropy Methods in Science and Engineering, Baltimore,MD, 2001-08-04 to 2001-08-09

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Language(s): eng - English

Dates: Date issued: 2002

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 24320
Other: CIPS Reprint No. 86

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Title: Bayesian Interference and Maximum Entropy Methods in Science and Engineering

Source Genre: Book

Creator(s):
Fry, R.L., Editor

Affiliations:
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Publ. Info: Melville,NY : AIP Press

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 143 - 154 Identifier: -

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Title: AIP Conference Proceedings

Source Genre: Series

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Pages: - Volume / Issue: 617 Sequence Number: - Start / End Page: - Identifier: -