Research Communication | Open Access
Volume 2019 | Communication ID 49
Functional local linear estimate of the conditional density with missing at random
Boubaker Mechab, Hammou Djallal Rafik
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
Jan 11, 2019
Jan 31, 2019
Mar 01, 2019

Abstract: In recent years, the considerable progress in computing power makes it possible To collect and analyze more and more cumbersome data. Many multivariate statistical techniques, concerning parametric models, have been extended to functional data and a good review on this topic can be found in [2] or [6]. Recently, new studies have been carried out in order to propose nonparametric methods taking into account functional data. We refer to [5] For a more comprehensive review on this subject. The kernel density estimation has been an important topic in statistics. A large number of works have ...










The first International Conference on Research in Applied Mathematics and Computer Science (ICRAMCS 2019)