Detection of a Sparse Variable Function

Verfasser / Beitragende:
[Yu. Ingster, I. Suslina]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Mathematical Sciences, 206/2(2015-04-01), 181-196
Format:
Artikel (online)
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024 7 0 |a 10.1007/s10958-015-2302-z  |2 doi 
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245 0 0 |a Detection of a Sparse Variable Function  |h [Elektronische Daten]  |c [Yu. Ingster, I. Suslina] 
520 3 |a We observe an unknown d-variable function f = f(t), t = (t 1, . . . , t d) ∈ [0, 1] d , f ∈ L 2([0, 1] d ), in Gaussian white noise of level ε > 0. We test the null hypothesis H 0 : f = 0 against an alternative H 1. Under the alternative, we assume that the unknown function is separated from zero: f ≥ r ε $$ \left\Vert f\right\Vert \ge {r}_{\varepsilon } $$ for some positive family r ε → ε → 0 0 $$ {r}_{\varepsilon}\underset{\varepsilon \to 0}{\to }0 $$ . Moreover, we assume that the unknown d-variable function f is a function of a smaller number of variables s ("sparse variable” function) that satisfies some regularity constraints. We also consider the problem of adaptation in k = 1, . . . , s. We assume that d = d ε → ∞. The integer s ∈ ℕ is either fixed or s = s ε → ∞, s = o(d). We study minimax error probabilities and obtain minimax separation rates that provide distinguishability in the problems. Then we apply the results obtained in the case of alternatives from Sobolev balls with a deleted L 2-ball. 
540 |a Springer Science+Business Media New York, 2015 
700 1 |a Ingster  |D Yu  |u St. Petersburg National Research University of Information Technologies, Mechanics, and Optics, St. Petersburg, Russia  |4 aut 
700 1 |a Suslina  |D I.  |u St. Petersburg National Research University of Information Technologies, Mechanics, and Optics, St. Petersburg, Russia  |4 aut 
773 0 |t Journal of Mathematical Sciences  |d Springer US; http://www.springer-ny.com  |g 206/2(2015-04-01), 181-196  |x 1072-3374  |q 206:2<181  |1 2015  |2 206  |o 10958 
856 4 0 |u https://doi.org/10.1007/s10958-015-2302-z  |q text/html  |z Onlinezugriff via DOI 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
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949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10958-015-2302-z  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ingster  |D Yu  |u St. Petersburg National Research University of Information Technologies, Mechanics, and Optics, St. Petersburg, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Suslina  |D I.  |u St. Petersburg National Research University of Information Technologies, Mechanics, and Optics, St. Petersburg, Russia  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Mathematical Sciences  |d Springer US; http://www.springer-ny.com  |g 206/2(2015-04-01), 181-196  |x 1072-3374  |q 206:2<181  |1 2015  |2 206  |o 10958