A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods
The purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem. The estimator is constructed by combining a specific ratio technique and an established wavelet estimation...
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doaj-d037c92433784af1b9d72db2e5869e892020-11-25T04:08:11ZengMDPI AGStats2571-905X2020-10-0133047548310.3390/stats3040030A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet MethodsSalim Bouzebda0Christophe Chesneau1Alliance Sorbonne Université, L.M.A.C., Université de Technologie de Compiègne, 60159 Compiègne, FranceDepartment of Mathematics, Université de Caen, LMNO, Campus II, Science 3, 14032 Caen, FranceThe purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem. The estimator is constructed by combining a specific ratio technique and an established wavelet estimation method. We obtain rates of almost sure convergence over compact subsets of <inline-formula><math display="inline"><semantics><msup><mi mathvariant="double-struck">R</mi><mi>d</mi></msup></semantics></math></inline-formula>. A general estimator beyond the wavelet methodology is also proposed, discussing adaptivity within this statistical framework.https://www.mdpi.com/2571-905X/3/4/30conditional mode estimationstrong consistencynonparametric estimationwavelet estimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Salim Bouzebda Christophe Chesneau |
spellingShingle |
Salim Bouzebda Christophe Chesneau A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods Stats conditional mode estimation strong consistency nonparametric estimation wavelet estimation |
author_facet |
Salim Bouzebda Christophe Chesneau |
author_sort |
Salim Bouzebda |
title |
A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods |
title_short |
A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods |
title_full |
A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods |
title_fullStr |
A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods |
title_full_unstemmed |
A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods |
title_sort |
note on the nonparametric estimation of the conditional mode by wavelet methods |
publisher |
MDPI AG |
series |
Stats |
issn |
2571-905X |
publishDate |
2020-10-01 |
description |
The purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem. The estimator is constructed by combining a specific ratio technique and an established wavelet estimation method. We obtain rates of almost sure convergence over compact subsets of <inline-formula><math display="inline"><semantics><msup><mi mathvariant="double-struck">R</mi><mi>d</mi></msup></semantics></math></inline-formula>. A general estimator beyond the wavelet methodology is also proposed, discussing adaptivity within this statistical framework. |
topic |
conditional mode estimation strong consistency nonparametric estimation wavelet estimation |
url |
https://www.mdpi.com/2571-905X/3/4/30 |
work_keys_str_mv |
AT salimbouzebda anoteonthenonparametricestimationoftheconditionalmodebywaveletmethods AT christophechesneau anoteonthenonparametricestimationoftheconditionalmodebywaveletmethods AT salimbouzebda noteonthenonparametricestimationoftheconditionalmodebywaveletmethods AT christophechesneau noteonthenonparametricestimationoftheconditionalmodebywaveletmethods |
_version_ |
1724426437417500672 |