activity
20162024
collaborators

5 papers

math.ST2024

A Functional Principal Component Analysis Approach to Conditional Copula Estimation

Toihir Soulaimana Djaloud, Cheikh Tidiane Seck

The conditional copula model arises when the dependence between random variables is influenced by another covariate. Despite its importance in modelling complex dependence structur…

math.ST2023

Strong uniform convergence rates of the linear wavelet estimator of a multivariate copula density

Cheikh Tidiane Seck, Salha Mamane

In this paper, we investigate the almost sure convergence, in supremum norm, of the rank-based linear wavelet estimator for a multivariate copula density. Based on empirical proces…

stat.ME2017

Asymptotic Theory and Statistical Decomposability gap Estimation for Takayama's Index

Pape Djiby Mergane, Cheikh Mohamed Haidara, Cheikh Tidiane Seck +1

In the spirit of recent asymptotic works on the General Poverty Index (GPI) in the field of Welfare Analysis, the asymptotic representation of the non-decomposable Takayama's index…

math.ST2016

Uniform in bandwidth consistency for the transformation kernel estimator of copulas

Cheikh Tidiane Seck, Diam Ba, Gane Samb Lo

In this paper we establish the uniform in bandwidth consistency for the transformation kernel estimator of copulas introduced in [Omelka et al.(2009)]. To this end, we first prove…

stat.ME2016

Asymptotic confidence bands for copulas based on the transformation kernel estimator

Diam Ba, Cheikh Tidiane Seck, Gane Samb Lo

In this paper we establish asymptotic simultaneous confidence bands for the transformation kernel estimator of copulas introduced in Omelka et al.(2009). To this aim, we prove a un…