Les types de climats en France, une construction spatiale

Autor: Daniel Joly, Thierry Brossard, Hervé Cardot, Jean Cavailhes, Mohamed Hilal, Pierre Wavresky

Publikováno v: Cybergeo (2010)

The climatic criterion impacts the behaviour and the decision of individuals and social groups; thus, it is a major component of the territory life. Therefore, dividing space according to different climate types is worth achieving by using updated da

Externí odkaz: https://doaj.org/article/068fad1bafe647ea83a6e605576789d8

Analyzing temporal dominance of sensations data with categorical functional data analysis

Autor: Caroline Peltier, Michel Visalli, Pascal Schlich, Hervé Cardot

Publikováno v: Food Quality and Preference. 109:104893

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::67c99cb65e05ebeedfc2a38282474786
https://doi.org/10.1016/j.foodqual.2023.104893

Conditional Bias Robust Estimation of the Total of Curve Data by Sampling in a Finite Population: An Illustration on Electricity Load Curves

Autor: Hervé Cardot, Anne De Moliner, Camelia Goga

Publikováno v: Journal of Survey Statistics and Methodology
Journal of Survey Statistics and Methodology, Oxford University Press, 2020, 8 (3), pp.453-482. ⟨10.1093/jssam/smz009⟩

For marketing or power grid management purposes, many studies based on the analysis of total electricity consumption curves of groups of customers are now carried out by electricity companies. Aggregated totals or mean load curves are estimated using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c4387979eab03f0caea3fdb2a70b7a8
https://hal.archives-ouvertes.fr/hal-03035958

Modeling Temporal Dominance of Sensations with semi-Markov chains

Autor: Hervé Cardot, G. Lecuelle, Michel Visalli, Pascal Schlich

Publikováno v: Food Quality and Preference
Food Quality and Preference, Elsevier, 2018, 67, pp.59-66. ⟨10.1016/j.foodqual.2017.06.003⟩
Food Quality and Preference, Elsevier, 2017, ⟨10.1016/j.foodqual.2017.06.003⟩
Food Quality and Preference, Elsevier, 2017, 〈10.1016/j.foodqual.2017.06.003〉

International audience; Temporal Dominance of Sensations (TDS) data are usually represented by TDS curves of dominance rates and analyzed by linear models of dominance durations. Such approaches do not properly take into account the fact that the sel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3626e2e9e8456d2bd73f65ea45b226e
https://doi.org/10.1016/j.foodqual.2017.06.003

Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?

Autor: Hervé Cardot, David Degras

Publikováno v: International Statistical Review. 86:29-50

Summary Principal component analysis (PCA) is a method of choice for dimension reduction. In the current context of data explosion, online techniques that do not require storing all data in memory are indispensable to perform the PCA of streaming dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b62889c6aa15162ea1b739ea4ca32e17
https://doi.org/10.1111/insr.12220