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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
Genre: Poster

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http://www.uni-goettingen.de/de/106548.html (Abstract)
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Langovoy, M1, Author           
Munk , A, Author
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1External Organizations, ou_persistent22              

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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: 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: -