Multiscale inference for multivariate deconvolution
ELECTRONIC JOURNAL OF STATISTICS, pp. 4179-4219, 2017.
In this paper we provide new methodology for inference of the geometric features of a multivariate density in deconvolution. Our approach is based on multiscale tests to detect significant directional derivatives of the unknown density at arbitrary points in arbitrary directions. The multiscale method is used to identify regions of monoto...More
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