dc.contributor.author | Petsa, A. | en |
dc.contributor.author | Sapatinas, Theofanis | en |
dc.creator | Petsa, A. | en |
dc.creator | Sapatinas, Theofanis | en |
dc.date.accessioned | 2019-12-02T10:37:45Z | |
dc.date.available | 2019-12-02T10:37:45Z | |
dc.date.issued | 2009 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57489 | |
dc.description.abstract | We derive minimax results in the functional deconvolution model under the Lp-risk, 1 ≤ p < ∞. Lower bounds are given when the unknown response function is assumed to belong to a Besov ball and under appropriate smoothness assumptions on the blurring function, including both regular-smooth and super-smooth convolutions. Furthermore, we investigate the asymptotic minimax properties of an adaptive wavelet estimator over a wide range of Besov balls. The new findings extend recently obtained results under the L2-risk. As an illustration, we discuss particular examples for both continuous and discrete settings. © 2009 Elsevier B.V. All rights reserved. | en |
dc.source | Statistics and Probability Letters | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-67349108327&doi=10.1016%2fj.spl.2009.03.028&partnerID=40&md5=f738397d3f6c63b29936700fb443f2aa | |
dc.title | Minimax convergence rates under the Lp-risk in the functional deconvolution model | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.spl.2009.03.028 | |
dc.description.volume | 79 | |
dc.description.issue | 13 | |
dc.description.startingpage | 1568 | |
dc.description.endingpage | 1576 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :5</p> | en |
dc.source.abbreviation | Stat.Probab.Lett. | en |
dc.contributor.orcid | Sapatinas, Theofanis [0000-0002-6126-4654] | |
dc.gnosis.orcid | 0000-0002-6126-4654 | |