Efficient tests for the deconvolution hypothesis

Langovoy, M; Munk , A

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Efficient tests for the deconvolution hypothesis

Langovoy, M., & Munk, A. (2006). Efficient tests for the deconvolution hypothesis. Poster presented at Workshop on Statistical Inverse Problems, Göttingen, Germany.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D293-C Version Permalink: https://hdl.handle.net/21.11116/0000-0004-C80F-B

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http://www.uni-goettingen.de/de/106548.html (Abstract) Open Access status unknown

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Langovoy, M¹, Author
Munk , A, Author

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Abstract: We constructed new goodness of fit tests for statistical inverse problems. Tests are designed to be asymptotically efficient. Tests are capable to choose the best model dimension automatically by the data.

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Dates: Date issued: 2006-03

Publication Status: Issued

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Identifiers: BibTex Citekey: Langovoy2006

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Title: Workshop on Statistical Inverse Problems

Place of Event: Göttingen, Germany

Start-/End Date: 2006-03-23 - 2006-03-25

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Title: Workshop on Statistical Inverse Problems

Source Genre: Proceedings

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 31 Identifier: -