16 citations · 27 across the 8 of their papers we have counts for
10 papers
Markov-Switching State-Space Models with Applications to Neuroimaging
David Degras, Chee-Ming Ting, Hernando Ombao
State-space models (SSM) with Markov switching offer a powerful framework for detecting multiple regimes in time series, analyzing mutual dependence and dynamics within regimes, an…
Scalable Feature Matching Across Large Data Collections
David Degras
This paper is concerned with matching feature vectors in a one-to-one fashion across large collections of datasets. Formulating this task as a multidimensional assignment problem w…
Sparse Group Fused Lasso for Model Segmentation
David Degras
This article introduces the sparse group fused lasso (SGFL) as a statistical framework for segmenting sparse regression models with multivariate time series. To compute solutions o…
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?
Hervé Cardot, David Degras
In the current context of data explosion, online techniques that do not require storing all data in memory are indispensable to routinely perform tasks like principal component ana…
Rotation Sampling for Functional Data
David Degras
This paper addresses the survey estimation of a population mean in continuous time. For this purpose we extend the rotation sampling method to functional data. In contrast to conve…
Local Polynomial Regression Based on Functional Data
Karim Benhenni, David Degras
Suppose that statistical units are observed, each following the model where is a regression function, are…