Academic literature on the topic 'Modèle linéaire à noyaux'
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Journal articles on the topic "Modèle linéaire à noyaux"
Gourieroux, Monfort, and Renault. "Tests sur le noyau, l'image et le rang de la matrice des coefficients d'un modèle linéaire multivarié." Annales d'Économie et de Statistique, no. 32 (1993): 81. http://dx.doi.org/10.2307/20075927.
Full textHassani, Seddiq, Amina Alaoui Soulimani, and Alain Ehrlacher. "Modèle viscoélastique non-linéaire : le modèle pseudo-linéaire." ESAIM: Proceedings 2 (1997): 243–52. http://dx.doi.org/10.1051/proc:1997021.
Full textGomi, Patrick, Philippe Sergent, and Khouane Meftah. "Comportement linéaire et non linéaire d'un modèle de Boussinesq étendu." Revue Européenne de Génie Civil 9, no. 7-8 (August 2005): 941–61. http://dx.doi.org/10.1080/17747120.2005.9692794.
Full textGomi, Patrick, Philippe Sergent, and Khouane Meftah. "Comportement linéaire et non linéaire d'un modèle de Boussinesq étendu." Revue européenne de génie civil 9, no. 7-8 (October 28, 2005): 941–61. http://dx.doi.org/10.3166/regc.9.941-961.
Full textCibois, Philippe. "Modèle Linéaire contre modèle logistique en régression sur données qualitatives." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 64, no. 1 (October 1999): 5–24. http://dx.doi.org/10.1177/075910639906400103.
Full textToulisse, Elisabeth, and Arlette Savary. "De l’économie linéaire à l’économie circulaire, un enjeu pour la Normandie." Études Normandes 1, no. 1 (2017): 62–67. http://dx.doi.org/10.3406/etnor.2017.3510.
Full textElamri, Khalid, Aziz Hamdouni, and Olivier Millet. "Le modèle de Novozhilov-Donnell linéaire déduit de l'élasticité tridimensionnelle non linéaire." Comptes Rendus de l'Académie des Sciences - Series IIB - Mechanics-Physics-Astronomy 327, no. 13 (December 1999): 1285–90. http://dx.doi.org/10.1016/s1287-4620(99)90003-0.
Full textCimetière, Alain, Aziz Hamdouni, and Olivier Millet. "Le modèle linéaire usuel de plaque déduit de l'élasticité non linéaire tridimensionnelle." Comptes Rendus de l'Académie des Sciences - Series IIB - Mechanics-Physics-Chemistry-Astronomy 326, no. 3 (March 1998): 159–62. http://dx.doi.org/10.1016/s1251-8069(99)89002-2.
Full textSann, L., Y. Lasne, M. Gladstone, and G. Putet. "Modèle non linéaire de croissance des prématurés." Archives de Pédiatrie 4, no. 9 (September 1997): 922. http://dx.doi.org/10.1016/s0929-693x(97)88221-8.
Full textBélanger, M., N. El-Jabi, D. Caissie, F. Ashkar, and J. M. Ribi. "Estimation de la température de l'eau de rivière en utilisant les réseaux de neurones et la régression linéaire multiple." Revue des sciences de l'eau 18, no. 3 (April 12, 2005): 403–21. http://dx.doi.org/10.7202/705565ar.
Full textDissertations / Theses on the topic "Modèle linéaire à noyaux"
Rossi, Vivien. "Filtrage non linéaire par noyaux de convolution : application à un procédé de dépollution biologique." Montpellier, ENSA, 2004. http://www.theses.fr/2004ENSA0013.
Full textRosa, Vargas José Ismäel de la. "Estimation de la densité de probabilité d'une mesure dans un cadre non-linéaire, non-gaussien." Paris 11, 2002. http://www.theses.fr/2002PA112201.
Full textThe characterization and modeling of an indirect measurement procedure is led by a set of previously observed data. The modeling task is it self a complex procedure which is correlated with the measurement objective. Far from model building and model selection, a theoretical and practical problem persists: What is the correct probability density function (PDF) of a parametric model? Once this PDF is approximated, the next step is to establish a mechanism to propagate this statistical information until the quantity of interest. In fact, such a quantity is a measurement estimate and it is a nonlinear function of the parametric model. The present work proposes some different methods to make statistical inferences about the measurement estimate. We propose a first approach based on bootstrap methods. Such methods are classical in statistical simulation together with Monte Carlo methods, and they require a significative time of calcul. However, the precision over the measurement PDF estimated by these methods is very good. On the other hand, we have verified that the bootstrap methods convergence is faster than the Primitive Monte Carlo's one. Another advantage of bootstrap is its capacity to determine the statistical nature of errors which perturb the measurement system. This is doing thanks to the empirical estimation of the errors PDF. The bootstrap convergence optimization could be achieved by smoothing the residuals or by using a modified iterated bootstrap scheme. More over, we propose to use robust estimation when outliers are present. The second approach is based on other sampling techniques called Markov Chain Monte Carlo (MCMC), the statistical inference obtained when using these methods is very interesting, since we can use all a priori information about the measurement system. We can reformulate the problem solution by using the Bayes rule. The Gibbs sampling and the Metropolis-Hastings algorithms were exploited in this work. We overcome to the MCMC convergence optimization problem by using a weighted resampling and coupling from the past (CFTP) schemes, moreover, we adapt such techniques to the measurement PDF approximation. The last proposed approach is based on the use of kernel methods. The main idea is founded on the nonparametric estimation of the errors PDF, since it is supposed unknown. Then, we optimize a criterion function based on the entropy of the errors' PDF, thus we obtain a minimum entropy estimator (MEE). The simulation of this estimation process by means of Monte Carlo, MCMC, or weighted bootstrap could led to us to construct a statistical approximation of the measurement population. .
Ozier-Lafontaine, Anthony. "Kernel-based testing and their application to single-cell data." Electronic Thesis or Diss., Ecole centrale de Nantes, 2023. http://www.theses.fr/2023ECDN0025.
Full textSingle-cell technologies generate data at the single-cell level. They are coumposed of hundreds to thousands of observations (i.e. cells) and tens of thousands of variables (i.e. genes). New methodological challenges arose to fully exploit the potentialities of these complex data. A major statistical challenge is to distinguish biological informationfrom technical noise in order to compare conditions or tissues. This thesis explores the application of kernel testing on single-cell datasets in order to detect and describe the potential differences between compared conditions.To overcome the limitations of existing kernel two-sample tests, we propose a kernel test inspired from the Hotelling-Lawley test that can apply to any experimental design. We implemented these tests in a R and Python package called ktest that is their first useroriented implementation. We demonstrate the performances of kernel testing on simulateddatasets and on various experimental singlecell datasets. The geometrical interpretations of these methods allows to identify the observations leading a detected difference. Finally, we propose a Nyström-based efficient implementationof these kernel tests as well as a range of diagnostic and interpretation tools
Rossignon, Corentin. "Un modèle de programmation à grain fin pour la parallélisation de solveurs linéaires creux." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0094/document.
Full textSolving large sparse linear system is an essential part of numerical simulations. These resolve can takeup to 80% of the total of the simulation time.An efficient parallelization of sparse linear kernels leads to better performances. In distributed memory,parallelization of these kernels is often done by changing the numerical scheme. Contrariwise, in sharedmemory, a more efficient parallelism can be used. It’s necessary to use two levels of parallelism, a first onebetween nodes of a cluster and a second inside a node.When using iterative methods in shared memory, task-based programming enables the possibility tonaturally describe the parallelism by using as granularity one line of the matrix for one task. Unfortunately,this granularity is too fine and doesn’t allow to obtain good performance.In this thesis, we study the granularity problem of the task-based parallelization. We offer to increasegrain size of computational tasks by creating aggregates of tasks which will become tasks themself. Thenew coarser task graph is composed by the set of these aggregates and the new dependencies betweenaggregates. Then a task scheduler schedules this new graph to obtain better performance. We use as examplethe Incomplete LU factorization of a sparse matrix and we show some improvements made by this method.Then, we focus on NUMA architecture computer. When we use a memory bandwidth limited algorithm onthis architecture, it is interesting to reduce NUMA effects. We show how to take into account these effects ina task-based runtime in order to improve performance of a parallel program
Saumard, Mathieu. "Contribution à l'analyse statistique des données fontionnelles." Thesis, Rennes, INSA, 2013. http://www.theses.fr/2013ISAR0009/document.
Full textIn this thesis, we are interested in the functional data. The problem of estimation in a model of estimating equations is studying. We derive a central limit type theorem for the considered estimator. The optimal instruments are estimated, and we obtain a uniform convergence of the estimators. We are then interested in various testing with functional data. We study the problem of nonparametric testing for the effect of a random functional covariate on an error term which could be directly observed as a response or estimated from a functional model like for instance the functional linear model. We proved, in order to construct the tests, a result of dimension reduction which relies on projections of the functional covariate. We have constructed no-effect tests by using a kernel smoothing or a nearest neighbor smoothing. A goodness-of-fit test in the functional linear model is also proposed. All these tests are studied from a theoretical and practical perspective
Saad, Mohamad. "Méthodes statistiques et stratégies d'études d'association de phénotypes complexes : études pan-génomiques de la maladie de Parkinson." Toulouse 3, 2012. http://thesesups.ups-tlse.fr/1657/.
Full textMy thesis has focused on statistical methods and strategies to study the genetic components of complex human traits and especially of Parkinson's Disease (PD). My work was developed mainly in two contexts of genome wide association studies (GWAS): the detection of common variants and the detection of rare variants. GWAS is an optimal approach in which we have to control for the type I error and the type II error rates. Indeed, a large number of tests are performed. In addition, we must control for potential population stratification problems. Despite the large sample sizes in recent GWASs based on the single-marker test, they may have individually low power to detect common variants with small effects. The use of the multi-marker test may optimize the coverage of genetic variability and thus increase the power of GWAS. I have focused on the study of these tests, especially the "SNP-Set" test based on kernel machine regression and the haplotypic test. I studied the theoretical aspects of these tests and I evaluated the statistical properties in our empirical data for PD. In addition, in our analyses for PD, I developed imputation and meta-analysis techniques to increase the coverage of the genetic variability and the sample size. Association analysis for rare variants faces several challenges. The single marker test is not powerful to detect such variants and the cost of whole-genome sequence analyses for complex traits is still prohibitive. Our design is a cost-effective alternative which is based on the joint use of public sequence data and GWAS data. Several new tests have been proposed but, to date, their statistical properties are still unclear. On the genome-wide level, the type I error and the type II error rates may depend on several factors as gene length, allelic heterogeneity in the gene, LD between SNPs, overlap between genes and the correlation between the common variants and the trait. I evaluated the statistical properties of several methods in simulated data and also in our GWAS PD data. We show that several methods, based on the linear mixed model, are mathematically equivalent and some are special cases of others. In conclusion, we developed strategies and analytical methods which combine complementary approaches (Common Disease-Common Variant versus Common Disease-Rare Variant) to optimize the characterization of the genetic components of PD in particular and of complex traits in general
Le, Thi Xuan Mai. "Estimation semi-paramétrique et application à l’évaluation de la biomasse d'anchois." Thesis, Toulouse, INSA, 2010. http://www.theses.fr/2010ISAT0006/document.
Full textThe motivation of this study is to evaluate the anchovy biomass, that is estimate the egg densities at the spawning time and the mortality rate. The data are the anchovy egg densities that are the egg weights by area unit, collected in the Gascogne bay. The problem we are faced is to estimate from these data the egg densities at the spawning time. Until now, this is done by using the classical exponential mortality model. However, such model is inadequate for the data under consideration because of the great spatial variability of the egg densities at the spawning time. They are samples of generated by a r.v whose mathematical expectation is a0 and the probability density function is fA. Therefore, we propose an extended exponential mortality model Y (tj,kj) = A (tj,kj) e-z0tj +e(tj,kj) where A(tj,kj) and e(tj,kj) are i.i.d, with the random variables A and e being assumed to be independent. Then the problem consists in estimating the mortality rate and the probability density of the random variable . We solve this semiparametric estimation problem in two steps. First, we estimate the mortality rate by fitting an exponential mortality model to averaged data. Second, we estimate the density fA by combining nonparametric estimation method with deconvolution technique and estimate the parameter z0. Theoretical results of consistence of these estimates are corroborated by simulation studies
Isoard, Alexandre. "Extending Polyhedral Techniques towards Parallel Specifications and Approximations." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN011/document.
Full textPolyhedral techniques enable the application of analysis and code transformations on multi-dimensional structures such as nested loops and arrays. They are usually restricted to sequential programs whose control is both affine and static. This thesis extend them to programs involving for example non-analyzable conditions or expressing parallelism. The first result is the extension of the analysis of live-ranges and memory conflicts, for scalar and arrays, to programs with parallel or approximated specification. In previous work on memory allocation for which this analysis is required, the concept of time provides a total order over the instructions and the existence of this order is an implicit requirement. We showed that it is possible to carry out such analysis on any partial order which match the parallelism of the studied program. The second result is to extend memory folding techniques, based on Euclidean lattices, to automatically find an appropriate basis from the set of memory conflicts. This set is often non convex, case that was inadequately handled by the previous methods. The last result applies both previous analyzes to "pipelined" blocking methods, especially in case of parametric block size. This situation gives rise to non-affine control but can be processed accurately by the choice of suitable approximations. This paves the way for efficient kernel offloading to accelerators such as GPUs, FPGAs or other dedicated circuit
Raoux, Jean-Jacques. "Modélisation non-linéaire des composants électroniques : du modèle analytique au modèle tabulaire paramétrique." Limoges, 1995. http://www.theses.fr/1995LIMO0006.
Full textLe, Treust Loïc. "Méthodes variationnelles et topologiques pour l'étude de modèles non liénaires issus de la mécanique relativiste." Phd thesis, Université Paris Dauphine - Paris IX, 2013. http://tel.archives-ouvertes.fr/tel-00908953.
Full textBooks on the topic "Modèle linéaire à noyaux"
La programmation linéaire dans les modèles de production. Paris: Masson, 1988.
Find full textAlain, Morineau. Le modèle log-linéaire et ses applications: La procédure Logli de SPAD. Paris: Decisia, 1996.
Find full textNobert, Yves. La recherche opérationnelle. Montréal: Gaëtan Morin éditeur, 1995.
Find full textNobert, Yves. La recherche opérationnelle. 3rd ed. Boucherville, Québec: G. Morin, 2001.
Find full text1946-2017, Ouellet Roch, and Parent Régis, eds. Méthodes d'optimisation pour la gestion. Montréal: G. Morin, 2009.
Find full text1960-, Varga T., ed. Elliptically contoured models in statistics. Dordrecht: Kluwer Academic, 1993.
Find full textHawi, Ahmad. Modèle Linéaire Généralisé: Modèle Linéaire Généralisé Avec des Applications Sous SAS. Omniscriptum, 2011.
Find full textSoilihi, Nizar. Analyse de Données: Nouveauté Sur l'analyse en Composantes Principales Fonctionnelle et Présentation d'un Modèle de Régression Linéaire Fonctionnel Avec une Application Sur des Données Réelles. Independently Published, 2020.
Find full textGeneralized Additive Models: An Introduction with R (Texts in Statistical Science). Chapman & Hall/CRC, 2006.
Find full textBook chapters on the topic "Modèle linéaire à noyaux"
Boreux, Jean-Jacques, Éric Parent, and Jacques Bernier. "Le modèle linéaire généralisé." In Pratique du calcul bayésien, 169–84. Paris: Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-287-99667-2_9.
Full text"IV. Le modèle linéaire généralisé." In Régression avec R - 2e édition, 247–330. EDP Sciences, 2021. http://dx.doi.org/10.1051/978-2-7598-2183-9-006.
Full text"I. Introduction au modèle linéaire." In Régression avec R - 2e édition, 1–88. EDP Sciences, 2021. http://dx.doi.org/10.1051/978-2-7598-2183-9-003.
Full text"I. Introduction au modèle linéaire." In Régression avec R - 2e édition, 1–88. EDP Sciences, 2021. http://dx.doi.org/10.1051/978-2-7598-2183-9.c003.
Full text"IV. Le modèle linéaire généralisé." In Régression avec R - 2e édition, 247–330. EDP Sciences, 2021. http://dx.doi.org/10.1051/978-2-7598-2183-9.c006.
Full text"15 Le modèle o non linéaire." In Transitions de phase et groupe de renormalisation, 381–410. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-0150-3-017.
Full text"15 Le modèle o non linéaire." In Transitions de phase et groupe de renormalisation, 381–410. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-0150-3.c017.
Full textFELD-PAYET, Sylvia. "Transition endommagement-fissure." In Modélisation numérique en mécanique fortement non linéaire, 309–82. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9081.ch7.
Full textGRANGE, Benjamin. "Récepteurs solaires." In Le solaire à concentration, 139–65. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9079.ch4.
Full textLÉVY-LEDUC, Céline, Marie PERROT-DOCKÈS, Gwendal CUEFF, and Loïc RAJJOU. "Sélection de variables dans le modèle linéaire général : application à des approches multiomiques pour étudier la qualité des graines." In Intégration de données biologiques, 101–28. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9030.ch4.
Full textConference papers on the topic "Modèle linéaire à noyaux"
Gomi, Patrick, Philippe Sergent, and Khouane Meftah. "Comportement non-linéaire d’un modèle de Boussinesq étendu." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2004. http://dx.doi.org/10.5150/jngcgc.2004.044-g.
Full textOchrimenko, Viacheslav, and Oleksandr Kravchuk. "ÉTUDE D’UN MODÈLE MATHÉMATIQUE DU MOTEUR ASYNCHRONE LINÉAIRE CYLINDRIQUE." In LES TENDANCES ACTUELLES DE LA MONDIALISATION DE LA SCIENCE MONDIALE. European Scientific Platform, 2020. http://dx.doi.org/10.36074/03.04.2020.v1.27.
Full textOchrimenko, Viacheslav. "ÉTUDE D’UN MODÈLE PHYSIQUE DU MOTEUR ASYNCHRONE LINÉAIRE CYLINDRIQUE." In LE TENDENZE E MODELLI DI SVILUPPO DELLA RICERСHE SCIENTIFICI. European Scientific Platform, 2020. http://dx.doi.org/10.36074/13.03.2020.v1.23.
Full textBelzons, Max, and Cyril Dulou. "Un modèle d'interaction d'une houle non-linéaire avec une marche immergée." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2002. http://dx.doi.org/10.5150/jngcgc.2002.006-b.
Full textRAOULT, Cécile, Michel BENOIT, and Marissa YATES. "Développement d'un modèle numérique non-linéaire et dispersif pour la propagation des vagues en zone côtière." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2016. http://dx.doi.org/10.5150/jngcgc.2016.012.
Full textRAOULT, Cécile, Michel BENOIT, and Marissa L. YATES. "Etude et qualification d’un modèle numérique complètement non-linéaire et dispersif pour les vagues en zone côtière." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2014. http://dx.doi.org/10.5150/jngcgc.2014.018.
Full textReports on the topic "Modèle linéaire à noyaux"
Rousseau, Henri-Paul. Gutenberg, L’université et le défi numérique. CIRANO, December 2022. http://dx.doi.org/10.54932/wodt6646.
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