Zobrazeno 1 - 10
of 36
pro vyhledávání: '"WILHELM, MATTHIEU"'
The Sihl river, located near the city of Zurich in Switzerland, is under continuous and tight surveillance as it flows directly under the city's main railway station. To issue early warnings and conduct accurate risk quantification, a dense network o
Externí odkaz:
http://arxiv.org/abs/2106.13077
We present new sampling methods in finite population that allow to control the joint inclusion probabilities of units and especially the spreading of sampled units in the population. They are based on the use of renewal chains and multivariate discre
Externí odkaz:
http://arxiv.org/abs/1701.02483
Autor:
Tillé, Yves, Wilhelm, Matthieu
The aim of this paper is twofold. First, three theoretical principles are formalized: randomization, overrepresentation and restriction. We develop these principles and give a rationale for their use in choosing the sampling design in a systematic wa
Externí odkaz:
http://arxiv.org/abs/1612.04965
A specific family of point processes are introduced that allow to select samples for the purpose of estimating the mean or the integral of a function of a real variable. These processes, called quasi-systematic processes, depend on a tuning parameter
Externí odkaz:
http://arxiv.org/abs/1607.04993
Autor:
Wilhelm, Matthieu
L'ADN est au cœur de nombreux processus biologiques. De ce fait, il est la cible de nombreuses molécules pharmacologiques employées notamment dans les thérapies anticancer. Parmi celles-ci, la daunomycine va interagir avec la double hélice d'ADN
Externí odkaz:
http://www.theses.fr/2012LYO10108/document
Autor:
Wilhelm, Matthieu, Sangalli, Laura M.
We aim at analyzing geostatistical and areal data observed over irregularly shaped spatial domains and having a distribution within the exponential family. We propose a generalized additive model that allows to account for spatially-varying covariate
Externí odkaz:
http://arxiv.org/abs/1511.02688
We propose an Isogeometric approach for smoothing on surfaces, namely estimating a function starting from noisy and discrete measurements. More precisely, we aim at estimating functions lying on a surface represented by NURBS, which are geometrical r
Externí odkaz:
http://arxiv.org/abs/1508.05214
Akademický článek
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Publikováno v:
Statistica Sinica, 2018 Jan 01. 28(1), 471-504.
Externí odkaz:
https://www.jstor.org/stable/26384250
Autor:
Tillé, Yves, Wilhelm, Matthieu
Publikováno v:
Statistical Science, 2017 May 01. 32(2), 176-189.
Externí odkaz:
https://www.jstor.org/stable/26408224