Non parametric estimations of the conditional density and mode when the regressor and the response are curves

Autor:	Idir Ouassou, Ali Laksaci, Zoulikha Kaid, Mustapha Rachdi, Mohamed Alahiane
Rok vydání:	2021
Předmět:	Statistics and Probability Kernel density estimation Nonparametric statistics Mode (statistics) Functional data analysis Entropy (information theory) Applied mathematics Conditional mode Conditional probability distribution Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 52:4659-4674
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610926.2021.1998831
Popis:	We develop new estimation results for the functional relationship between a regressor and a response which are functions indexed by time or by spatial locations. The regressor is assumed to belong ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1fb1fd3c7b2f93349c68297031cc2849 https://doi.org/10.1080/03610926.2021.1998831 Zobrazit plný text záznamu