Abstract
Let X1,…,Xn be i.i.d. random variables uniformly distributed in a closed set G ⊂ K=[0/1]N , mes G ≠ 0. In this chapter we study the problem of estimation of G, given the observations X1,…,Xn . This problem is closely related to edge estimation, and, as we show later, it can be solved by similar means. The minimax convergence rates for estimators of supports with smooth boundaries turn out to be the same as those for edge estimators (cf. Chapters 4, 5).
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© 1993 Springer-Verlag New York, Inc.
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Korostelev, A.P., Tsybakov, A.B. (1993). Estimation of Support of a Density. In: Minimax Theory of Image Reconstruction. Lecture Notes in Statistics, vol 82. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2712-0_7
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DOI: https://doi.org/10.1007/978-1-4612-2712-0_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94028-1
Online ISBN: 978-1-4612-2712-0
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