Mustapha Rachdi

Prof. Dr. Mustapha Rachdi

Université Grenoble Alpes
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2007 in Journal of Statistical Planning and Inference
Verified
Journal Article
Closed access
Mustapha RachdiMustapha Rachdi
Mustapha Rachdi
PVP. Vieu
P. Vieu

21 April 2007 in Computational Statistics
Verified
Journal Article
Closed access
PDF file
KBK. Benhenni
K. Benhenni
FFF. Ferraty
F. Ferraty
Mustapha RachdiMustapha Rachdi
Mustapha Rachdi
PVP. Vieu
P. Vieu

1 January 2017 in Journal of Multivariate Analysis
Verified
Journal Article
Closed access
LKLydia-Zaitri Kara
Lydia-Zaitri Kara
ALAli Laksaci
Ali Laksaci
Mustapha RachdiMustapha Rachdi
Mustapha Rachdi
PVPhilippe Vieu
Philippe Vieu

1 April 2016 in Journal of Multivariate Analysis
Verified
Journal Article
Closed access
JDJacques Demongeot
Jacques Demongeot
AHAli Hamie
Ali Hamie
ALAli Laksaci
Ali Laksaci
Mustapha RachdiMustapha Rachdi
Mustapha Rachdi

1 May 2014 in Computational Statistics & Data Analysis
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Journal Article
Closed access
Mustapha RachdiMustapha Rachdi
Mustapha Rachdi
ALAli Laksaci
Ali Laksaci
JDJacques Demongeot
Jacques Demongeot
AAAbdel Abdali
Abdel Abdali
FMFethi Madani
Fethi Madani

1 February 2013 in Statistics
Verified
Journal Article
Closed access
JDJacques Demongeot
Jacques Demongeot
ALAli Laksaci
Ali Laksaci
FMFethi Madani
Fethi Madani
Mustapha RachdiMustapha Rachdi
Mustapha Rachdi
In this paper, we introduce a new nonparametric estimation procedure of the conditional density of a scalar response variable given a random variable taking values in a semi-metric space. Under some general conditions, we establish both the pointwise and the uniform almost-complete consistencies with convergence rates of the conditional density estimator related to this estimation procedure. Moreover, we give some particular cases of our results which can also be considered as novel in the finite-dimensional setting. Notice also that the results of this paper are used to derive some asymptotic properties of the local linear estimator of the conditional mode.