Academic literature on the topic 'Kernel testing'

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Dissertations / Theses on the topic "Kernel testing"

1

Lee, Kevin Sung-ho. "Kernel-adaptor interface testing of Project Timeliner." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/49939.

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2

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.

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Les technologies de sequençage en cellule unique mesurent des informations à l’échelle de chaque cellule d’une population. Les données issues de ces technologies présentent de nombreux défis : beaucoup d’observations en grande dimension et souvent parcimonieuses. De nombreuses expériences de biologie consistent à comparer des conditions.L’objet de la thèse est de développer un ensemble d’outils qui compare des échantillons de données issues des technologies de séquençage en cellule unique afin de détecter et décrire les différences qui existent. Pour cela, nous proposons d’appliquer les tests
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Kotlyarova, Yulia. "Kernel estimators : testing and bandwidth selection in models of unknown smoothness." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85179.

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Semiparametric and nonparametric estimators are becoming indispensable tools in applied econometrics. Many of these estimators depend on the choice of smoothing bandwidth and kernel function. Optimality of such parameters is determined by unobservable smoothness of the model, that is, by differentiability of the distribution functions of random variables in the model. In this thesis we consider two estimators of this class: the smoothed maximum score estimator for binary choice models and the kernel density estimator.<br>We present theoretical results on the asymptotic distribution of t
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Liero, Hannelore. "Testing the Hazard Rate, Part I." Universität Potsdam, 2003. http://opus.kobv.de/ubp/volltexte/2011/5151/.

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We consider a nonparametric survival model with random censoring. To test whether the hazard rate has a parametric form the unknown hazard rate is estimated by a kernel estimator. Based on a limit theorem stating the asymptotic normality of the quadratic distance of this estimator from the smoothed hypothesis an asymptotic ®-test is proposed. Since the test statistic depends on the maximum likelihood estimator for the unknown parameter in the hypothetical model properties of this parameter estimator are investigated. Power considerations complete the approach.
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Friedrichs, Stefanie Verfasser], Heike [Akademischer Betreuer] Bickeböller, Thomas [Gutachter] [Kneib, and Tim [Gutachter] Beißbarth. "Kernel-Based Pathway Approaches for Testing and Selection / Stefanie Friedrichs ; Gutachter: Thomas Kneib, Tim Beißbarth ; Betreuer: Heike Bickeböller." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2017. http://d-nb.info/114137952X/34.

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Li, Yinglei. "Genetic Association Testing of Copy Number Variation." UKnowledge, 2014. http://uknowledge.uky.edu/statistics_etds/8.

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Copy-number variation (CNV) has been implicated in many complex diseases. It is of great interest to detect and locate such regions through genetic association testings. However, the association testings are complicated by the fact that CNVs usually span multiple markers and thus such markers are correlated to each other. To overcome the difficulty, it is desirable to pool information across the markers. In this thesis, we propose a kernel-based method for aggregation of marker-level tests, in which first we obtain a bunch of p-values through association tests for every marker and then the ass
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Akcin, Haci Mustafa. "NONPARAMETRIC INFERENCES FOR THE HAZARD FUNCTION WITH RIGHT TRUNCATION." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/math_diss/12.

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Incompleteness is a major feature of time-to-event data. As one type of incompleteness, truncation refers to the unobservability of the time-to-event variable because it is smaller (or greater) than the truncation variable. A truncated sample always involves left and right truncation. Left truncation has been studied extensively while right truncation has not received the same level of attention. In one of the earliest studies on right truncation, Lagakos et al. (1988) proposed to transform a right truncated variable to a left truncated variable and then apply existing methods to the transform
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Li, Na. "MMD and Ward criterion in a RKHS : application to Kernel based hierarchical agglomerative clustering." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0033/document.

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La classification non supervisée consiste à regrouper des objets afin de former des groupes homogènes au sens d’une mesure de similitude. C’est un outil utile pour explorer la structure d’un ensemble de données non étiquetées. Par ailleurs, les méthodes à noyau, introduites initialement dans le cadre supervisé, ont démontré leur intérêt par leur capacité à réaliser des traitements non linéaires des données en limitant la complexité algorithmique. En effet, elles permettent de transformer un problème non linéaire en un problème linéaire dans un espace de plus grande dimension. Dans ce travail,
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Bissyande, Tegawende. "Contributions for improving debugging of kernel-level services in a monolithic operating system." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00821893.

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Alors que la recherche sur la qualité du code des systèmes a connu un formidable engouement, les systèmes d'exploitation sont encore aux prises avec des problèmes de fiabilité notamment dus aux bogues de programmation au niveau des services noyaux tels que les pilotes de périphériques et l'implémentation des systèmes de fichiers. Des études ont en effet montré que chaque version du noyau Linux contient entre 600 et 700 fautes, et que la propension des pilotes de périphériques à contenir des erreurs est jusqu'à sept fois plus élevée que toute autre partie du noyau. Ces chiffres suggèrent que le
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Singh, Yuvraj. "Regression Models to Predict Coastdown Road Load for Various Vehicle Types." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595265184541326.

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