Zobrazeno 1 - 10
of 620
pro vyhledávání: '"Poignard, P."'
We consider the problem of estimating a time-varying sparse precision matrix, which is assumed to evolve in a piece-wise constant manner. Building upon the Group Fused LASSO and LASSO penalty functions, we estimate both the network structure and the
Externí odkaz:
http://arxiv.org/abs/2410.04057
Autor:
Poignard, Benjamin, Asai, Manabu
Building upon the pertinence of the factor decomposition to break the curse of dimensionality inherent to multivariate volatility processes, we develop a factor model-based multivariate stochastic volatility (fMSV) framework that relies on two viewpo
Externí odkaz:
http://arxiv.org/abs/2406.19033
Objective: In medical imaging, it is often crucial to accurately assess and correct movement during image-guided therapy. Deformable image registration (DIR) consists in estimating the required spatial transformation to align a moving image with a fi
Externí odkaz:
http://arxiv.org/abs/2405.12791
Autor:
Poignard, Benjamin, Terada, Yoshikazu
We consider the estimation of factor model-based variance-covariance matrix when the factor loading matrix is assumed sparse. To do so, we rely on a system of penalized estimating functions to account for the identification issue of the factor loadin
Externí odkaz:
http://arxiv.org/abs/2307.05952
Autor:
Isabelle Bally, Guillaume Drumont, Véronique Rossi, Serafima Guseva, Maiia Botova, Jean-Baptiste Reiser, Michel Thépaut, Sebastian Dergan Dylon, Chantal Dumestre-Pérard, Christine Gaboriaud, Franck Fieschi, Martin Blackledge, Pascal Poignard, Nicole M. Thielens
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Complement activation is considered to contribute to the pathogenesis of severe SARS-CoV-2 infection, mainly by generating potent immune effector mechanisms including a strong inflammatory response. Involvement of the lectin complement pathway, a maj
Externí odkaz:
https://doaj.org/article/6c84d811d1f94cc8b1bf5e243ab8d1bb
Autor:
Dauge, Monique, Dular, Patrick, Krähenbühl, Laurent, Péron, Victor, Perrussel, Ronan, Poignard, Clair
Publikováno v:
Math. Methods Appl. Sci. 37 (2014), no. 13, 1924-1955
In this paper, we describe the magnetic potential in the vicinity of a corner of a conducting body embedded in a dielectric medium in a bidimensional setting. We make explicit the corner asymptotic expansion for this potential as the distance to the
Externí odkaz:
http://arxiv.org/abs/2205.06748
Autor:
Poignard, Benjamin, Asai, Manabu
Although multivariate stochastic volatility models usually produce more accurate forecasts compared to the MGARCH models, their estimation techniques such as Bayesian MCMC typically suffer from the curse of dimensionality. We propose a fast and effic
Externí odkaz:
http://arxiv.org/abs/2201.08584
We study the large sample properties of sparse M-estimators in the presence of pseudo-observations. Our framework covers a broad class of semi-parametric copula models, for which the marginal distributions are unknown and replaced by their empirical
Externí odkaz:
http://arxiv.org/abs/2112.12351
Publikováno v:
Chaos, 31(9), 093132 (2021)
A dead zone in the interaction between two dynamical systems is a region of their joint phase space where one system is insensitive to the changes in the other. These can arise in a number of contexts, and their presence in phase interaction function
Externí odkaz:
http://arxiv.org/abs/2107.07152
The aim of this paper is to investigate the asymptotic behavior of a biphase tumor fluid flow derived by 2-scale homogenisation techniques in recent works. This biphase fluid flow model accounts for the capillary wall permeability, and the interstiti
Externí odkaz:
http://arxiv.org/abs/2101.03400