Introduction L Estimation Non Param Trique
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Introduction L Estimation Non Param Trique
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Author : Alexandre B. Tsybakov
language : fr
Publisher: Springer Science & Business Media
Release Date : 2003-09-05
Introduction L Estimation Non Param Trique written by Alexandre B. Tsybakov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-05 with Mathematics categories.
La théorie de l'estimation non-paramétrique s'est développée considérablement ces deux dernières décennies, en se fixant pour objectif quelques thèmes principaux, en particulier, l'étude de l'optimalité des estimateurs et l'estimation adaptative. Ces deux thèmes occupent la place centrale dans le livre. Il s'agit de présenter, pour quelques modèles et exemples simples, les idées principales de l'estimation non-paramétrique. Quelques sujets abordés sont: les méthodes de noyaux, de projection et de polynômes locaux, vitesses optimales de convergence, le théorème de Pinsker, les inégalités d'oracle, l'adaptation au sens minimax. Un chapitre est consacré à l'exposition détaillée des différentes techniques de minoration du risque minimax.
Optimal Syntheses For Control Systems On 2 D Manifolds
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Author : Ugo Boscain
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-11-26
Optimal Syntheses For Control Systems On 2 D Manifolds written by Ugo Boscain and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-26 with Mathematics categories.
This book is devoted to optimal syntheses in control theory and focuses on minimum time on 2-D manifolds. The text outlines examples of applicability, introduces geometric methods in control theory, and analyzes single input systems on 2-D manifolds including classifications of optimal syntheses and feedbacks, their singularities, extremals projection and minimum time singularities. Various extensions and applications are also illustrated.
Stochastic Epidemic Models With Inference
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Author : Tom Britton
language : en
Publisher: Springer Nature
Release Date : 2019-11-30
Stochastic Epidemic Models With Inference written by Tom Britton and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-30 with Mathematics categories.
Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo). The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout.
European Control Conference 1991
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Author :
language : en
Publisher: European Control Association
Release Date : 1991-07-02
European Control Conference 1991 written by and has been published by European Control Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-07-02 with categories.
Proceedings of the European Control Conference 1991, July 2-5, 1991, Grenoble, France
Nonparametric Statistics
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Author : Michele La Rocca
language : en
Publisher: Springer Nature
Release Date : 2020-11-11
Nonparametric Statistics written by Michele La Rocca and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-11 with Mathematics categories.
Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the International Society for Nonparametric Statistics (ISNPS), held in Salerno, Italy, on June 11-15, 2018. It covers theory, methodology, applications and computational aspects, addressing topics such as nonparametric curve estimation, regression smoothing, models for time series and more generally dependent data, varying coefficient models, symmetry testing, robust estimation, and rank-based methods for factorial design. It also discusses nonparametric and permutation solutions for several different types of data, including ordinal data, spatial data, survival data and the joint modeling of both longitudinal and time-to-event data, permutation and resampling techniques, and practical applications of nonparametric statistics. The International Society for Nonparametric Statistics is a unique global organization, and its international conferences are intended to foster the exchange of ideas and the latest advances and trends among researchers from around the world and to develop and disseminate nonparametric statistics knowledge. The ISNPS 2018 conference in Salerno was organized with the support of the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics and the University of Salerno.
Wave Propagation Observation And Control In 1 D Flexible Multi Structures
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Author : René Dáger
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-23
Wave Propagation Observation And Control In 1 D Flexible Multi Structures written by René Dáger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-23 with Science categories.
This book is devoted to analyze the vibrations of simpli?ed 1? d models of multi-body structures consisting of a ?nite number of ?exible strings d- tributed along planar graphs. We?rstdiscussissueson existence and uniquenessof solutions that can be solved by standard methods (energy arguments, semigroup theory, separation ofvariables,transposition,...).Thenweanalyzehowsolutionspropagatealong the graph as the time evolves, addressing the problem of the observation of waves. Roughly, the question of observability can be formulated as follows: Can we obtain complete information on the vibrations by making measu- ments in one single extreme of the network? This formulation is relevant both in the context of control and inverse problems. UsingtheFourierdevelopmentofsolutionsandtechniquesofNonharmonic Fourier Analysis, we give spectral conditions that guarantee the observability property to hold in any time larger than twice the total length of the network in a suitable Hilbert space that can be characterized in terms of Fourier series by means of properly chosen weights. When the network graph is a tree, we characterize these weights in terms of the eigenvalues of the corresponding elliptic problem. The resulting weighted observability inequality allows id- tifying the observable energy in Sobolev terms in some particular cases. That is the case, for instance, when the network is star-shaped and the ratios of the lengths of its strings are algebraic irrational numbers.
Mathematical Methods Of Statistics
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Author :
language : en
Publisher:
Release Date : 2007
Mathematical Methods Of Statistics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematical statistics categories.
Statistique
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Author : Michel Lejeune
language : fr
Publisher: Springer Science & Business Media
Release Date : 2004
Statistique written by Michel Lejeune and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.
Cet ouvrage expose les fondements théoriques des méthodes classiques de la statistique (estimation et tests) ainsi que des approches introduites plus récemment. Les premiers chapitres sont consacrés aux notions de la théorie des probabilités, nécessaires à la statistique. Puis sont développés les tests et méthodes d estimation dans les situations paramétriques et non paramétriques. Enfin sont traités les modèles de base de la régression. Tout au long des chapitres, des exemples et exercices concrets sont proposés. La présentation témoigne d un réel souci pédagogique de l auteur qui bénéficie d une vaste expérience d enseignement auprès de publics très variés. Les résultats exposés sont, autant que possible, replacés dans la perspective de leur utilité pratique. Le niveau mathématique requis, le rend accessible aux étudiants de premier cycle universitaire et aux chercheurs dans les divers domaines des sciences appliquées. Il sera donc utile aux étudiants devant aborder les aspects théoriques de la statistique ou aux utilisateurs, pour les assurer du choix judicieux des méthodes qu ils emploient.
Progress In Wavelet Analysis And Applications
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Author : Yves Meyer
language : en
Publisher: Atlantica Séguier Frontières
Release Date : 1993
Progress In Wavelet Analysis And Applications written by Yves Meyer and has been published by Atlantica Séguier Frontières this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Wavelets categories.
Random Iterative Models
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Author : Marie Duflo
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Random Iterative Models written by Marie Duflo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
Be they random or non-random, iterative methods have progressively gained sway with the development of computer science and automatic control theory. Thus, being easy to conceive and simulate, stochastic processes defined by an iterative formula (linear or functional) have been the subject of many studies. The iterative structure often leads to simpler and more explicit arguments than certain classical theories of processes. On the other hand, when it comes to choosing step-by-step decision algorithms (sequential statistics, control, learning, ... ) recursive decision methods are indispensable. They lend themselves naturally to problems of the identification and control of iterative stochastic processes. In recent years, know-how in this area has advanced greatly; this is reflected in the corresponding theoretical problems, many of which remain open. At Whom Is This Book Aimed? I thought it useful to present the basic ideas and tools relating to random iterative models in a form accessible to a mathematician familiar with the classical concepts of probability and statistics but lacking experience in automatic control theory. Thus, the first aim of this book is to show young research workers that work in this area is varied and interesting and to facilitate their initiation period. The second aim is to present more seasoned probabilists with a number of recent original techniques and arguments relating to iterative methods in a fairly classical environment.