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pro vyhledávání: '"Vieu"'
Publikováno v:
SHS Web of Conferences, Vol 186, p 03003 (2024)
Au croisement des tâches « cohérence » et « formation des enseignants » de l’ANR ECalm, cette contribution porte sur la cohérence de textes d’élèves d’école primaire et de début de collège. Elle met en regard des annotations discurs
Externí odkaz:
https://doaj.org/article/d3e96fda7cd843b0976944568dd2c875
Autor:
Bras Myriam, Vieu Laure
Publikováno v:
SHS Web of Conferences, Vol 186, p 03001 (2024)
Cet article traite de la question de la cohérence dans des productions écrites d’élèves d’école et collège. Le corpus analysé est issu du corpus RESOLCO, il est constitué de 36 textes d’élèves d’école primaire et de collège (CE2,
Externí odkaz:
https://doaj.org/article/ee478b148eda43b58cf626fda4ab8c5f
Autor:
Vieu, Thibault, Larkin, Cormac J. K., Härer, Lucia, Reville, Brian, Sander, Andreas A. C., Ramachandran, Varsha
We perform a large-scale hydrodynamic simulation of a massive star cluster whose stellar population mimics that of the Cygnus OB2 association. The main-sequence stars are first simulated during 1.6 Myr, until a quasi-stationary state is reached. At t
Externí odkaz:
http://arxiv.org/abs/2406.13589
We consider scenarios for non-thermal particle acceleration and re-acceleration in the central cores of compact massive star clusters, aided by insights from high resolution hydrodynamic simulations. We show that i) particles are unlikely to interact
Externí odkaz:
http://arxiv.org/abs/2404.09885
Publikováno v:
TEST, 2024
This paper focuses on a semiparametric regression model in which the response variable is explained by the sum of two components. One of them is parametric (linear), the corresponding explanatory variable is measured with additive error and its dimen
Externí odkaz:
http://arxiv.org/abs/2402.11292
Publikováno v:
Journal of Multivariate Analysis, 188:104871, 2022
Despite of various similar features, Functional Data Analysis and High-Dimensional Data Analysis are two major fields in Statistics that grew up recently almost independently one from each other. The aim of this paper is to propose a survey on method
Externí odkaz:
http://arxiv.org/abs/2401.14867
Publikováno v:
Australian and New Zealand Journal of Statistics, 63: 606-638, 2021
A new sparse semiparametric model is proposed, which incorporates the influence of two functional random variables in a scalar response in a flexible and interpretable manner. One of the functional covariates is included through a single-index struct
Externí odkaz:
http://arxiv.org/abs/2401.14864
Publikováno v:
Statistics & Probability Letters, 171:109028, 2021
A fast and flexible $k$NN procedure is developed for dealing with a semiparametric functional regression model involving both partial-linear and single-index components. Rates of uniform consistency are presented. Simulated experiments highlight the
Externí odkaz:
http://arxiv.org/abs/2401.14848
Publikováno v:
TEST, 30: 481-504, 2021
This paper aims to front with dimensionality reduction in regression setting when the predictors are a mixture of functional variable and high-dimensional vector. A flexible model, combining both sparse linear ideas together with semiparametrics, is
Externí odkaz:
http://arxiv.org/abs/2401.14841
Publikováno v:
Journal of Nonparametric Statistics, 31(2): 364-392, 2019
This paper develops a new automatic and location-adaptive procedure for estimating regression in a Functional Single-Index Model (FSIM). This procedure is based on $k$-Nearest Neighbours ($k$NN) ideas. The asymptotic study includes results for automa
Externí odkaz:
http://arxiv.org/abs/2401.14836