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pro vyhledávání: '"Degras, David"'
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, and asserting transitions between regimes. These models however present
Externí odkaz:
http://arxiv.org/abs/2106.05092
Autor:
Degras, David
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 with decomposable costs (MDADC), we develop extremely fast algorithms w
Externí odkaz:
http://arxiv.org/abs/2101.02035
Autor:
Degras, David
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 of the SGFL, a nonsmooth and nonseparable convex program, we develop a
Externí odkaz:
http://arxiv.org/abs/1912.07761
Akademický článek
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Publikováno v:
In Computational Statistics and Data Analysis October 2022 174
Autor:
Cardot, Hervé, Degras, David
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 analysis (PCA). Recursive algorithms that update the PCA with each new ob
Externí odkaz:
http://arxiv.org/abs/1511.03688
Autor:
Degras, David
Cette thèse porte sur l'étude de la régression non paramétrique en présence de mesures répétées. D'abord, nous étendons aux estimateurs splines de lissage les vitesses de convergence présentées dans la littérature pour d'autres estimateur
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00201438
http://tel.archives-ouvertes.fr/docs/00/20/14/38/PDF/These.pdf
http://tel.archives-ouvertes.fr/docs/00/20/14/38/PDF/These.pdf
Autor:
Degras, David, Lindquist, Martin A.
Publikováno v:
NeuroImage 98, 2014, p. 61-72
In this paper we introduce a new hierarchical model for the simultaneous detection of brain activation and estimation of the shape of the hemodynamic response in multi-subject fMRI studies. The proposed approach circumvents a major stumbling block in
Externí odkaz:
http://arxiv.org/abs/1402.6089
Autor:
Degras, David
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 conventional rotation designs that select the sample before the survey, our
Externí odkaz:
http://arxiv.org/abs/1204.4494
Autor:
Benhenni, Karim, Degras, David
Suppose that $n$ statistical units are observed, each following the model $Y(x_j)=m(x_j)+ \epsilon(x_j),\, j=1,...,N,$ where $m$ is a regression function, $0 \leq x_1 <...
Externí odkaz:
http://arxiv.org/abs/1107.4058