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Efficient tests for the deconvolution hypothesis

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


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-D293-C
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.