1 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
A multivariate spatial regression model using signatures
Camille Frévent, Issa-Mbenard Dabo
We propose a spatial autoregressive model for a multivariate response variable and functional covariates. The approach is based on the notion of signature, which represents a funct…
A traffic approach for profiled Pennington-Worah matrices
Issa Dabo, Camille Male
We study macroscopic observables of large random matrices introduced by Pennington and Worah, defined by applying entry wise a non linear function on a product of matrices with ind…
Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
Dharini Pathmanathan, Issa-Mbenard Dabo, Tzung Hsuen Khoo +2
The paper introduces a multivariate functional areal spatial principal component analysis (mfasPCA) framework, together with multivariate functional Moran's I statistics, to enable…
Generalized dynamic functional principal component analysis
Tzung Hsuen Khoo, Issa-Mbenard Dabo, Dharini Pathmanathan +1
In this paper, we explore dimension reduction for functional time series. We propose a generalized dynamic functional principal component analysis (GDFPCA) which does not rely on s…
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
Jérémie Bigot, Issa-Mbenard Dabo, Camille Male
High-dimensional linear regression has been thoroughly studied in the context of independent and identically distributed data. We propose to investigate high-dimensional regression…