40 citations · 57 across the 6 of their papers we have counts for
7 papers
Spatio-temporal modeling of urban extreme rainfall events at high resolution
Chloé Serre-Combe, Nicolas Meyer, Thomas Opitz +1
Modeling precipitation and its accumulation over time and space is essential for flood risk assessment. In this paper, we analyze rainfall data collected over several years through…
Bayesian two-interval test
Nicolas Meyer, Erik-André Sauleau
The null hypothesis test (NHT) is widely used for validating scientific hypotheses but is actually highly criticized. Although Bayesian tests overcome several criticisms, some limi…
Multivariate sparse clustering for extremes
Nicolas Meyer, Olivier Wintenberger
Identifying directions where extreme events occur is a major challenge in multivariate extreme value analysis. In this paper, we use the concept of sparse regular variation introdu…
Sparse regular variation
Meyer Nicolas, Olivier Wintenberger
Regular variation provides a convenient theoretical framework to study large events. In the multivariate setting, the dependence structure of the positive extremes is characterized…
Determining the Number of Components in PLS Regression on Incomplete Data
Titin Agustin Nengsih, Frédéric Bertrand, Myriam Maumy-Bertrand +1
Partial least squares regression---or PLS---is a multivariate method in which models are estimated using either the SIMPLS or NIPALS algorithm. PLS regression has been extensively…
New developments in Sparse PLS regression
Jérémy Magnanensi, Myriam Maumy-Bertrand, Nicolas Meyer +1
Methods based on partial least squares (PLS) regression, which has recently gained much attention in the analysis of high-dimensional genomic datasets, have been developed since th…
A new Universal Resample Stable Bootstrap-based Stopping Criterion in PLS Components Construction
Jérémy Magnanensi, Frédéric Bertrand, Myriam Maumy-Bertrand +1
We develop a new robust stopping criterion in Partial Least Squares Regressions (PLSR) components construction characterised by a high level of stability. This new criterion is def…