activity
20152021
most citedIGS: an IsoGeometric approach for Smoothing on surfaces

22 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

stat.AP2021

Optimal sequential sampling design for environmental extremes

Raphaël de Fondeville, Matthieu Wilhelm

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 earl…

stat.ME2017

Sampling Designs on Finite Populations with Spreading Control Parameters

Yves Tillé, Lionel Qualité, Matthieu Wilhelm

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 populatio…

stat.ME2016★ 1 cited

Probability Sampling Designs: Principles for Choice of Design and Balancing

Yves Tillé, Matthieu Wilhelm

The aim of this paper is twofold. First, three theoretical principles are formalized: randomization, overrepresentation and restriction. We develop these principles and give a rati…

stat.ME2016

Quasi-Systematic Sampling From a Continuous Population

Matthieu Wilhelm, Yves Tillé, Lionel Qualité

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 proc…

stat.ME2015

Generalized Spatial Regression with Differential Regularization

Matthieu Wilhelm, Laura M. Sangalli

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…

stat.ME2015★ 22 cited

IGS: an IsoGeometric approach for Smoothing on surfaces

Matthieu Wilhelm, Luca Dedè, Laura M. Sangalli +1

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 func…