Matthieu Wilhelm
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View article: Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to esca disease
Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to esca disease Open
Esca, one of the most destructive grapevine trunk diseases, is still poorly understood. As grapevine cultivars vary widely in their susceptibility to esca, we designed a four-year experiment to identify the environmental factors that influ…
View article: Occurrence of <i>Aspergillus fumigatus</i> azole resistance in soils from Switzerland
Occurrence of <i>Aspergillus fumigatus</i> azole resistance in soils from Switzerland Open
Aspergillus fumigatus is a fungal species causing diverse diseases in humans. The use of azoles for treatments of A. fumigatus diseases has resulted in azole resistance. Azoles are also widely used in the environment for crop protection, w…
View article: A systemic approach allows to identify the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to esca/Botryosphaeria dieback
A systemic approach allows to identify the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to esca/Botryosphaeria dieback Open
Esca and/or Botryosphaeria dieback (esca-BD) are two of the most destructive grapevine trunk diseases in the world, disease complex which remains poorly understood. As some vine cultivars show highly variable susceptibility to esca-BD, we …
View article: Optimal sequential sampling design for environmental extremes
Optimal sequential sampling design for environmental extremes Open
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 dens…
View article: Sampling Designs on Finite Populations with Spreading Control Parameters
Sampling Designs on Finite Populations with Spreading Control Parameters Open
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 multivar…
View article: Probability Sampling Designs: Principles for Choice of Design and Balancing
Probability Sampling Designs: Principles for Choice of Design and Balancing Open
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 sy…
View article: Probability Sampling Designs: Principles for Choice of Design and\n Balancing
Probability Sampling Designs: Principles for Choice of Design and\n Balancing Open
The aim of this paper is twofold. First, three theoretical principles are\nformalized: randomization, overrepresentation and restriction. We develop these\nprinciples and give a rationale for their use in choosing the sampling design\nin a…
View article: Quasi-Systematic Sampling From a Continuous Population
Quasi-Systematic Sampling From a Continuous Population Open
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 tunin…
View article: Generalized spatial regression with differential regularization
Generalized spatial regression with differential regularization Open
We aim at analysing 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 varyin…
View article: IGS: An IsoGeometric approach for smoothing on surfaces
IGS: An IsoGeometric approach for smoothing on surfaces Open
View article: Generalized Spatial Regression with Differential Regularization
Generalized Spatial Regression with Differential Regularization Open
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-varyin…