Výsledky vyhledávání - "Michel DELECROIX"

On semiparametric -estimation in single-index regression

Autor: Valentin Patilea, Marian Hristache, Michel Delecroix

Publikováno v: Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2006, 136 (3), pp.730-769. ⟨10.1016/j.jspi.2004.09.006⟩
Journal of Statistical Planning and Inference, 2006, 136 (3), pp.730-769. ⟨10.1016/j.jspi.2004.09.006⟩
Journal of Statistical Planning and Inference, Elsevier, 2006, 136 (3), pp.730-769. 〈10.1016/j.jspi.2004.09.006〉

In this paper we analyze a large class of semiparametric M -estimators for single-index models, including semiparametric quasi-likelihood and semiparametric maximum likelihood estimators. Some possible applications to robustness are also mentioned. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96e972b783edb00b2924acc02d8d7efe
https://doi.org/10.1016/j.jspi.2004.09.006

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Semiparametric estimation in single index Poisson regression: A practical approach

Autor: Michel Delecroix, Daniela Climov, Léopold Simar

Publikováno v: Journal of Applied Statistics. 29:1047-1070

In a single index Poisson regression model with unknown link function, the index parameter can be root-n consistently estimated by the method of pseudo maximumum likelihood. In this paper, we study, by simulation arguments, the practical validity of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0bc7a55f4dc16d61192a3da963bd80d
https://doi.org/10.1080/0266476022000006739

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Estimation non-paramétrique du taux de hasard : application à des durées de chômage censurées à droite

Autor: Abdelhak NASSIRI, Michel DELECROIX, Michel BONNEU

Publikováno v: Annals of Economics and Statistics. (58):215-232

Different hazard rate nonparametric estimators for randomly right-censored data are considered in this paper. Lacking sufficiently homogeneous theoritical results allowing for a comparison between their performances, an empirical procedure is adopted

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______645::6cd2698d0472ac48c78717a51251d104
http://www.jstor.org/stable/20076234

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Neuropathic aspects of persistent postsurgical pain: a French multicenter survey with a 6-month prospective follow-up

Autor: Christian Dualé, Lemlih Ouchchane, Pierre Schoeffler, Claude Dubray, Sylvie Soule-Sonneville, Christophe Decoene, Denis Baylot, Danièle Lefebvre-Kuntz, Patrick Reynier, Brigitte Sokolo, Patrick Niccolaï, Aline Albi-Feldzer, Monique Belon, Hammou Taheri, Michel Delecroix, Ourdia Hadjali, Céline Biermann, Bertrand Nougarède, Brice Richez, Fayçale Beouche, Bilal El Drayi, Christiane Hercule, Maurice Libier, Pascal Duchêne, Jean-Marc Vedrinne, Martine Bonnin, Jacques Desbordes, Marc Raucoules-Aimé, Vedat Eljezi, Bertrand Guillot, Yves Noudem, Albane Legrand, Fabienne Monier, Thierry Therre, Emmanuelle Schaack, Laurent Vallet, Franck Ruiz, Virginie Cognet, Marie-Christine Crosmary, Anne-Frédérique Dalmas, Nathalie Chalons, Marie-Noëlle Falewee, Lise Brisebrat, Claudine Chirat, Nicolas Jérémie, François Mirault

Publikováno v: The Journal of Pain
The Journal of Pain, 2014, 15 (1), pp.24.e1-24.e20. ⟨10.1016/j.jpain.2013.08.014⟩

To investigate the role of peripheral neuropathy in the development of neuropathic postsurgical persistent pain (N-PSPP) after surgery, this French multicentric prospective cohort study recruited 3,112 patients prior to elective cesarean, inguinal he

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aec1308de268df6b45acaf93a63c0b18
https://pubmed.ncbi.nlm.nih.gov/24373573

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Estimation fonctionnelle sous contraintes de forme

Autor: Christine Thomas-Agnan, Michel Simioni, Michel Delecroix

Publikováno v: Journal of Nonparametric Statistics
Journal of Nonparametric Statistics, American Statistical Association, 1996, pp.69-89

Egalement paru dans : INRA-ESR Toulouse Série D ; 92-07D; Dans un modèle de régression non paramétrique avec points d'observation non aléatoires, on voudrait parfois pouvoir utiliser une information additionnelle sur la forme de la fonction de r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a22b6c3190432b52a85ba3e9806b8b
https://doi.org/10.1080/10485259608832664

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Spline and Kernel Regression under Shape Restrictions

Autor: Christine Thomas-Agnan, Michel Delecroix

Publikováno v: Smoothing and Regression: Approaches, Computation, and Application

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87828f77f7ea2b4049446710ebed0aba
https://doi.org/10.1002/9781118150658.ch5

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Nonlinear censored regression using synthetic data

Autor: Olivier Lopez, Michel Delecroix, Valentin Patilea

Publikováno v: Scandinavian Journal of Statistics
Scandinavian Journal of Statistics, 2008, 35 (2), pp.248-265. ⟨10.1111/j.1467-9469.2007.00591.x⟩
Scandinavian Journal of Statistics, Wiley, 2008, 35 (2), pp.248-265. ⟨10.1111/j.1467-9469.2007.00591.x⟩

The problem of estimating a nonlinear regression model when the dependent variableis randomly censored is considered. The parameter of the model is estimated by leastsquares using synthetic data, that is a suitable transformation of the response vari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f867c2ef2b98996248cb64f5b6c6182
https://hal.science/hal-00361261

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