Search results for " Statistics"

showing 10 items of 1891 documents

Ecrits sur les processus aléatoires, Analyse spectrale des processus alpha stables

2012

International audience

[ MATH ] Mathematics [math][STAT]Statistics [stat][PHYS]Physics [physics][SPI]Engineering Sciences [physics][ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][ SPI ] Engineering Sciences [physics][MATH] Mathematics [math][MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS[STAT] Statistics [stat][PHYS] Physics [physics]
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Frequency composition of traction and tillage forces on a mole plough

1997

International audience

[ MATH ] Mathematics [math]stationnary spectral processes Fourier[PHYS]Physics [physics][ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][MATH] Mathematics [math][STAT] Statistics [stat][PHYS] Physics [physics][STAT]Statistics [stat][SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics][MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS
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Continuous optimal control sensitivity analysis with AD

2000

In order to apply a parametric method to a minimum time control problem in celestial mechanics, a sensitivity analysis is performed. The analysis is continuous in the sense that it is done in the infinite dimensional control setting. The resulting sufficient second order condition is evaluated by means of automatic differentiation, while the associated sensitivity derivative is computed by continuous reverse differentiation. The numerical results are given for several examples of orbit transfer, also illustrating the advantages of automatic differentiation over finite differences for the computation of gradients on the discretized problem.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnology021103 operations researchDiscretizationAutomatic differentiation0211 other engineering and technologiesFinite difference[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyOptimal control020901 industrial engineering & automationOrder conditionControl theoryRiccati equationSensitivity (control systems)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]ComputingMilieux_MISCELLANEOUSMathematicsParametric statistics
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Coplanar control of a satellite around the Earth

2001

We investigate the minimum time transfer of a satellite around the Earth. Using an optimal control model, we study the controllability of the system and propose a geometrical analysis of the optimal command structure. Furthermore, in order to solve the problem numerically, a new parametric technique is introduced for which convergence properties are established.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationGeometric analysis010102 general mathematicsControl (management)Structure (category theory)[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyTopologyOptimal control01 natural sciencesControllabilityComputational Mathematics020901 industrial engineering & automationControl and Systems EngineeringConvergence (routing)Satellite[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsComputingMilieux_MISCELLANEOUSMathematicsParametric statistics
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Solving chance constrained optimal control problems in aerospace via Kernel Density Estimation

2017

International audience; The goal of this paper is to show how non-parametric statistics can be used to solve some chance constrained optimization and optimal control problems. We use the Kernel Density Estimation method to approximate the probability density function of a random variable with unknown distribution , from a relatively small sample. We then show how this technique can be applied and implemented for a class of problems including the God-dard problem and the trajectory optimization of an Ariane 5-like launcher.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Mathematical optimizationControl and Optimizationchance constrained optimizationKernel density estimation0211 other engineering and technologiesProbability density function02 engineering and technology01 natural sciencesKernel Density Estimation010104 statistics & probability0101 mathematicsMathematics021103 operations researchApplied MathematicsConstrained optimizationTrajectory optimizationstochastic optimizationOptimal controlOptimal controlDistribution (mathematics)Aerospace engineeringControl and Systems EngineeringStochastic optimization[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Random variableSoftware
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Seasonal reproducibility and predictability of the West African Monsoon in coupled GCMs

2009

In the framework of the ENSEMBLES FP6 project, an ensemble prediction system based on five different state-of-the-art European coupled models has been developed. This study evaluates the performance of these models for forecasting the West African monsoon (WAM) at the monthly time scale. From simulations started the 1 May of each year and covering the period 1991–2001, the reproducibility and potential predictability (PP) of key parameters of the WAM—rainfall, zonal and meridional wind at four levels from the surface to 200 hPa, and specific humidity, from July to September—are assessed. The Sahelian rainfall mode of variability is not accurately reproduced contrary to the Guinean rainfall …

[ SDE.MCG ] Environmental Sciences/Global ChangesWest African monsoonENSEMBLESModel Output Statistics[SDE.MCG] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDE.MCG]Environmental Sciences/Global Changespredictability[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyComputingMilieux_MISCELLANEOUS
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Construction de Modèles Prédictifs pour l'Analyse des Relations Oiseaux-Paysage

2013

National audience; Cet article présente une comparaison de trois méthodes (Modèles Linéaires Généralisés, Réseaux de Neurones, Machines Vecteurs Supports) et de différentes combinaisons de prétraitements de données (filtrage, arrondi, analyse factorielle, sélection de paramètres). L'objectif de cette comparaison est de définir quel est le processus qui permet de construire le meilleur modèle prédictif, dans le cadre de la prédiction d'abondances d'espèces d'oiseaux à partir de variables décrivant le paysage. Nous comparerons les modèles grâce à l'erreur moyenne absolue et à l'information mutuelle. Cette comparaison a montré qu'aucune technique étudiée ne permet de construire des modèles pré…

[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[SPI]Engineering Sciences [physics]relations espèces-environnement[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][SPI] Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]oiseauxdata mining[SDV.BID]Life Sciences [q-bio]/Biodiversity[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][STAT.ML] Statistics [stat]/Machine Learning [stat.ML][SDV.BID] Life Sciences [q-bio]/Biodiversitymodélisation
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Visualizing linguistic variation in a network of Latin documents and scribes

2018

This article explores whether and how network visualization can benefit philological and historical-linguistic study. This is illustrated with a corpus-based investigation of scribes' language use in a lemmatized and morphologically annotated corpus of documentary Latin (Late Latin Charter Treebank, LLCT2). We extract four continuous linguistic variables from LLCT2 and utilize a gradient colour palette in Gephi to visualize the variable values as node attributes in a trimodal network which consists of the documents, writers, and writing locations underlying the same corpus. We call this network the "LLCT2 network". The geographical coordinates of the location nodes form an approximate map, …

[ SHS.HIST ] Humanities and Social Sciences/HistoryComputer sciencemedia_common.quotation_subjectlatin linguisticsTreebank[shs.hist] humanities and social sciences/history01 natural sciences050105 experimental psychologyArgumentation theory[shs.langue] humanities and social sciences/linguistics[shs.class] humanities and social sciences/classical studiesGraph drawing0103 physical sciencesNode (computer science)lcsh:AZ20-9990501 psychology and cognitive sciences[shs.stat] humanities and social sciences/methods and statistics[SHS.LANGUE]Humanities and Social Sciences/Linguistics010306 general physics[SHS.CLASS]Humanities and Social Sciences/Classical studies[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsmedia_commonCreative visualization[SHS.STAT]Humanities and Social Sciences/Methods and statisticsearly middle ages05 social sciencesphilologynetwork visualizationlcsh:History of scholarship and learning. The humanitiesLinguisticslcsh:ZLinguistic competencelcsh:Bibliography. Library science. Information resourcesVariable (computer science)Variation (linguistics)[ SHS.CLASS ] Humanities and Social Sciences/Classical studies[ SHS.LANGUE ] Humanities and Social Sciences/Linguistics[SHS.HIST]Humanities and Social Sciences/History
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Territoires urbains en transition. Monographie d’un quartier populaire en résilience écologique, Editions Universitaires de Dijon, décembre 2015

2015

National audience; Que faites-vous pour la planète? Vous prenez le vélo pour aller travailler? Vous recyclez des tissus pour fabriquer et peut-être vendre des vêtements? Vous avez choisi une pratique sportive durable dans un club près de chez vous? Vous mangez bio? Vous utilisez les réseaux sociaux pour faire connaître vos éco-gestes à vos voisins ou à l'autre bout du monde? Imaginez... A quoi pourrait ressembler un quartier populaire en 2050, si on ne fait rien pour protéger l’environnement ou, à l'inverse, si on fait tout pour le préserver?Une équipe pluridisciplinaire a enquêté durant deux ans, entre 2012 et 2014, auprès de la population d'un de ces quartiers, la Fontaine d'Ouche, en pro…

[ SHS.HIST ] Humanities and Social Sciences/History[SHS.SOCIO] Humanities and Social Sciences/Sociology[SHS.GEO] Humanities and Social Sciences/Geography[SHS.INFO]Humanities and Social Sciences/Library and information sciences[SHS.PSY]Humanities and Social Sciences/Psychologyquartier populaire[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies[SHS.INFO] Humanities and Social Sciences/Library and information sciences[ SHS.GEO ] Humanities and Social Sciences/Geographyrésilience[SHS]Humanities and Social Sciences[SHS.PSY] Humanities and Social Sciences/Psychology[ SHS.PSY ] Humanities and Social Sciences/Psychology[SHS.ENVIR] Humanities and Social Sciences/Environmental studies[SHS.STAT] Humanities and Social Sciences/Methods and statistics[ SHS ] Humanities and Social Sciences[ SHS.INFO ] Humanities and Social Sciences/Library and information sciences[ SHS.ECO ] Humanities and Social Sciences/Economies and financesaménagement de l'espace[SHS.ECO] Humanities and Social Sciences/Economics and Finance[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsTransition socio-écologique[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.SOCIO]Humanities and Social Sciences/Sociologycommunication[ SHS.SOCIO ] Humanities and Social Sciences/Sociology[SHS.GEO]Humanities and Social Sciences/Geographyprospective[SHS.ECO]Humanities and Social Sciences/Economics and Financeconsommation durable[SHS.HIST] Humanities and Social Sciences/History[SHS.ENVIR]Humanities and Social Sciences/Environmental studies[SHS] Humanities and Social Sciences[SHS.HIST]Humanities and Social Sciences/History
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Exploratory multiblock data: do they lead to the same results?

2022

[CHIM.ANAL] Chemical Sciences/Analytical chemistry[SHS.STAT] Humanities and Social Sciences/Methods and statisticsmultiblock approachcanonical factorization[PHYS] Physics [physics]
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