Academic literature on the topic 'Trajectoires – Statistiques'
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Journal articles on the topic "Trajectoires – Statistiques"
Gurnet, Nathan. "Trajectoires d’emploi des docteurs en Belgique." Emulations - Revue de sciences sociales, no. 21 (December 7, 2017): 101–15. http://dx.doi.org/10.14428/emulations.021.003.
Full textCollet, Beate, and Emmanuelle Santelli. "Les descendants d’immigrés en couple mixte au prisme de l’enquête « Trajectoires et Origines »." Enfances, Familles, Générations, no. 17 (January 10, 2013): 75–97. http://dx.doi.org/10.7202/1013416ar.
Full textAstier, Isabelle. "Du récit privé au récit civil : la construction d’une nouvelle dignité ?" III. L’exclusion administrée, no. 34 (October 2, 2002): 121–30. http://dx.doi.org/10.7202/005046ar.
Full textSavoie, Chantal. "Vers une reconstitution de la vie culturelle des femmes à Montréal dans les années 19401." Dossier 41, no. 2 (July 5, 2016): 35–44. http://dx.doi.org/10.7202/1036934ar.
Full textSamuel, Boris. "Étudier l'Afrique des grands nombres." Annales. Histoire, Sciences Sociales 71, no. 04 (December 2016): 897–921. http://dx.doi.org/10.1017/s0395264900049052.
Full textYang, Keming. "Longitudinal Loneliness and Its Risk Factors among Older People in England." Canadian Journal on Aging / La Revue canadienne du vieillissement 37, no. 1 (January 2, 2018): 12–21. http://dx.doi.org/10.1017/s0714980817000526.
Full textMarois, Claude. "Géographie de la population : parcours d’une branche de la géographie." Cahiers de géographie du Québec 54, no. 151 (September 8, 2010): 177–95. http://dx.doi.org/10.7202/044372ar.
Full textSencébé, Yannick, and Ademir Antonio Cazella. "Enjeux et politiques foncières en France et au Brésil: regards croisés sur deux histoires contrastées." Revista Pós Ciências Sociais 12, no. 23 (June 30, 2015): 249. http://dx.doi.org/10.18764/2236-9473.v12n23p249-274.
Full textPerera, G. "Statistique sur la variance et régularisation des trajectoires de diffusions." Annales de l'Institut Henri Poincare (B) Probability and Statistics 38, no. 6 (December 2002): 1009–22. http://dx.doi.org/10.1016/s0246-0203(02)01126-3.
Full textLe Moigne, Philippe, Claude Legrand, and Guido De Ridder. "Le récit statistique de l’exclusion." III. L’exclusion administrée, no. 34 (October 2, 2002): 141–49. http://dx.doi.org/10.7202/005140ar.
Full textDissertations / Theses on the topic "Trajectoires – Statistiques"
Florens-Zmirou, Danielle. "Statistiques des diffusions : observation discrétisées, passages à niveau donné, lissage des trajectoires." Paris 11, 1987. http://www.theses.fr/1987PA112126.
Full textThis thesis studies the statistical properties of recurrent diffusions partially observed. The first part concerns the discretization of the time interval by means of a sampling interval Δ. 6. Let Xk Δ. Be the observed Markov chain. We consider an expansion of its transition probability density in terms of Δ. The information loss is computed as a function of Δ and of the diffusion coefficient. Then we use the autoregressive model as an approximate statistical model of the diffusion. This method yields biased estimators enables us to compute the bias. We prove a central limit theorem for functionals of Markov chains. Discretization is used to study controlled diffusions. We prove that the asymptotic gains of the discretized models converge to the asymptotic gain of the diffusion controlled on continuous time. Ln the second part, the crossings of a given barrier are studied (i. E. Zero). A continuous observation of the zero-crossings of a diffusion is not feasible. Therefore, we observe the excursions greater than Δ. We construct a minimum contrast estimator and prove its consistency and asymptotic normality. We study the properties of the families of Levy measures associated to the diffusion local time. The zero crossings of the discretized diffusion are not Markovian any more. The proposed minimum contrast estimators are consistent and asymptotically Gaussian. The previous observation enables us to find an approximation of the diffusion local time. Ln the last paper we study the smoothing of a non differentiable stationary Gaussian process by means of convolution. We prove that the number of zero-crossings of the regularized process suitably normalized converges too in L 2 to the zero local time of the given Gaussian process
Briane, Vincent. "Tests statistiques pour l’analyse de trajectoires de particules : application à l’imagerie intracellulaire." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S137/document.
Full textIn this thesis, we are interested in quantifying the dynamics of intracellular particles, as proteins or molecules, inside living cells. In fact, inference on the modes of mobility of molecules is central in cell biology since it reflects the interactions between the structures of the cell. We model the particle trajectories with stochastic processes as the interior of a living cell is a fluctuating environment. Diffusions are stochastic processes with continuous paths and can model a large range of intracellular movements. Biophysicists distinguish three main types of diffusions, namely Brownian motion, superdiffusion and subdiffusion. These different diffusion processes correspond to distinct biological scenarios. A particle evolving freely inside the cytosol or along the plasma membrane is modelled by Brownian motion; the particle does not travel along any particular direction and can take a very long time to go to a precise area in the cell. Active intracellular transport can overcome this difficulty so that motion is faster and direct specific. In this case, particles are carried by molecular motors along microtubular filament networks and their motion is modelled with superdiffusions. Subdiffusion can be observed in two cases i/ when the particle is confined in a microdomain, ii/ when the particle is hindered by molecular crowding and encounters dynamic or fixed obstacles. We develop a statistical test for classifying the observed trajectories into the three groups of diffusion of interest namely Brownian motion, super-diffusion and subdiffusion. We also design an algorithm to detect the changes of dynamics along a single trajectory. We define the change points as the times at which the particle switches from one diffusion type (Brownian motion, superdiffusion or subdiffusion) to another. Finally, we combine a clustering algorithm with our test procedure to identify micro domains that is zones where the particles are confined. Molecular interactions of great importance for the functioning of the cell take place in such areas
Laprise, Jean-François. "Matrices aléatoires et billards classiques : universalité dans les mesures statistiques sur les trajectoires." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/26977/26977.pdf.
Full textMagrin-Chagnolleau, Ivan. "Approches statistiques et filtrage vectoriel de trajectoires spectrales pour l'identification du locuteur indépendante du texte /." Paris : École nationale supérieure des télécommunications, 1997. http://catalogue.bnf.fr/ark:/12148/cb367038292.
Full textMagrin-Chagnolleau, Ivan. "Approches statistiques et filtrage vectoriel de trajectoires spectrales pour l'identification du locuteur indépendante du texte." Paris, ENST, 1997. http://www.theses.fr/1997ENST0010.
Full textLacaux, Céline. "Contribution à la notion d'autosimilarité et à l'étude des trajectoires de champs aléatoires." Habilitation à diriger des recherches, Université de Lorraine, 2012. http://tel.archives-ouvertes.fr/tel-00764398.
Full textGosselin, Léa. "Trajectoires de satisfaction conjugale et dissolution d'union." Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/26000.
Full textEl, Mahrsi Mohamed Khalil. "Analyse et fouille de données de trajectoires d'objets mobiles." Phd thesis, Telecom ParisTech, 2013. http://tel.archives-ouvertes.fr/tel-00943936.
Full textCOQUET, RICHARD. "Approches statistiques pour l'analyse des trajectoires de dynamiques moleculaires. Applications a des molecules de la chimie supramoleculaire en phase gazeuse et en solution." Université Louis Pasteur (Strasbourg) (1971-2008), 1995. http://www.theses.fr/1995STR13144.
Full textRommel, Cédric. "Exploration de données pour l'optimisation de trajectoires aériennes." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX066/document.
Full textThis thesis deals with the use of flight data for the optimization of climb trajectories with relation to fuel consumption.We first focus on methods for identifying the aircraft dynamics, in order to plug it in the trajectory optimization problem. We suggest a static formulation of the identification problem, which we interpret as a structured multi-task regression problem. In this framework, we propose parametric models and use different maximum likelihood approaches to learn the unknown parameters.Furthermore, polynomial models are considered and an extension to the structured multi-task setting of the bootstrap Lasso is used to make a consistent selection of the monomials despite the high correlations among them.Next, we consider the problem of assessing the optimized trajectories relatively to the validity region of the identified models. For this, we propose a probabilistic criterion for quantifying the closeness between an arbitrary curve and a set of trajectories sampled from the same stochastic process. We propose a class of estimators of this quantity and prove their consistency in some sense. A nonparemetric implementation based on kernel density estimators, as well as a parametric implementation based on Gaussian mixtures are presented. We introduce the later as a penalty term in the trajectory optimization problem, which allows us to control the trade-off between trajectory acceptability and consumption reduction
Book chapters on the topic "Trajectoires – Statistiques"
Robette, Nicolas. "Des événements aux trajectoires." In L’analyse statistique des trajectoires, 9–12. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16700.
Full textRobette, Nicolas. "Illustration à partir de trajectoires d’emploi." In L’analyse statistique des trajectoires, 49–56. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16720.
Full textRobette, Nicolas. "Conclusion." In L’analyse statistique des trajectoires, 77–78. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16735.
Full textRobette, Nicolas. "Sans typologie, quel salut ?" In L’analyse statistique des trajectoires, 65–76. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16730.
Full textRobette, Nicolas. "Annexe." In L’analyse statistique des trajectoires, 79–80. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16740.
Full textRobette, Nicolas. "Décrire et représenter des trajectoires." In L’analyse statistique des trajectoires, 43–48. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16715.
Full textRobette, Nicolas. "Mesurer la dissemblance entre trajectoires." In L’analyse statistique des trajectoires, 25–42. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16710.
Full textRobette, Nicolas. "Références bibliographiques." In L’analyse statistique des trajectoires, 81–96. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16745.
Full textRobette, Nicolas. "Réaliser une typologie de trajectoires." In L’analyse statistique des trajectoires, 13–24. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16705.
Full textRobette, Nicolas. "Séquences multidimensionnelles." In L’analyse statistique des trajectoires, 57–64. Ined Éditions, 2021. http://dx.doi.org/10.4000/books.ined.16725.
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