148 citations · 235 across the 7 of their papers we have counts for
8 papers
Geographically Weighted Regression for Air Quality Low-Cost Sensor Calibration
Jean-Michel Poggi, Bruno Portier, Emma Thulliez
This article focuses on the use of Geographically Weighted Regression (GWR) method to correct air quality low-cost sensors measurements. Those sensors are of major interest in the…
Debiasing physico-chemical models in air quality monitoring by combining different pollutant concentration measures
Benjamin Auder, Camille Coron, Jean-Michel Poggi +1
Air quality monitoring requires to produce accurate estimation of nitrogen dioxide or fine particulate matter concentration maps, at different moments. A typical strategy is to com…
Conformal Prediction for Hierarchical Data
Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali +3
We consider conformal prediction for multivariate data and focus on hierarchical data, where some components are linear combinations of others. Intuitively, the hierarchical struct…
Random Forests for Big Data
Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot +1
Big Data is one of the major challenges of statistical science and has numerous consequences from algorithmic and theoretical viewpoints. Big Data always involve massive data but t…
Clustering electricity consumers using high-dimensional regression mixture models
Emilie Devijver, Yannig Goude, Jean-Michel Poggi
Massive informations about individual (household, small and medium enterprise) consumption are now provided with new metering technologies and the smart grid. Two major exploitatio…
A prediction interval for a function-valued forecast model
Anestis Antoniadis, Xavier Brossat, Jairo Cugliari +1
Starting from the information contained in the shape of the load curves, we have proposed a flexible nonparametric function-valued fore-cast model called KWF (Kernel+Wavelet+Functi…