Search results for "62H25"

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Estimation of total electricity consumption curves of small areas by sampling in a finite population

2016

International audience; Many studies carried out in the French electricity company EDF are based on the analysis of the total electricity consumption curves of groups of customers. These aggregated electricity consumption curves are estimated by using samples of thousands of curves measured at a small time step and collected according to a sampling design. Small area estimation is very usual in survey sampling. It is often addressed by using implicit or explicit domain models between the interest variable and the auxiliary variables. The goal here is to estimate totals of electricity consumption curves over domains or areas. Three approaches are compared: the rst one consists in modeling th…

Big dataEnergyMSC: 62H25Functional principal component analysis[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Regression trees[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]Mixed modelsFunctional data[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]
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Visualization of Jacques Lacan's Registers of the Psychoanalytic Field, and Discovery of Metaphor and of Metonymy. Analytical Case Study of Edgar All…

2016

We start with a description of Lacan's work that we then take into our analytics methodology. In a first investigation, a Lacan-motivated template of the Poe story is fitted to the data. A segmentation of the storyline is used in order to map out the diachrony. Based on this, it will be shown how synchronous aspects, potentially related to Lacanian registers, can be sought. This demonstrates the effectiveness of an approach based on a model template of the storyline narrative. In a second and more comprehensive investigation, we develop an approach for revealing, that is, uncovering, Lacanian register relationships. Objectives of this work include the wide and general application of our met…

FOS: Computer and information sciencesI.2Computer Science - Computation and LanguageStatistics - Machine LearningI.5.3I.5.462H25 62H30G.3Machine Learning (stat.ML)G.2.2Computation and Language (cs.CL)I.5.3; I.5.4; I.2; G.2.2; G.3
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