Nonparametric Estimation and Model Selection Using Constrained Splines in Linear Inversion Problems PDF Download
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Author: Davide Verotta
Publisher:
ISBN:
Category :
Languages : en
Pages : 276
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Author: Davide Verotta
Publisher:
ISBN:
Category :
Languages : en
Pages : 276
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 882
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Author: P. Groeneboom
Publisher:
ISBN: 9781139020893
Category : Estimation theory
Languages : en
Pages :
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Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 796
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Author: Jeffrey Racine
Publisher: Oxford University Press
ISBN: 0199857946
Category : Business & Economics
Languages : en
Pages : 562
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Book Description
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.
Author: Bernard Chalmond
Publisher: Springer Science & Business Media
ISBN: 0387216626
Category : Mathematics
Languages : en
Pages : 322
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Book Description
More mathematicians have been taking part in the development of digital image processing as a science and the contributions are reflected in the increasingly important role modeling has played solving complex problems. This book is mostly concerned with energy-based models. Most of these models come from industrial projects in which the author was involved in robot vision and radiography: tracking 3D lines, radiographic image processing, 3D reconstruction and tomography, matching, deformation learning. Numerous graphical illustrations accompany the text.
Author: Jeffrey S. Racine
Publisher: Cambridge University Press
ISBN: 1108483402
Category : Business & Economics
Languages : en
Pages : 435
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Book Description
Provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research.
Author:
Publisher:
ISBN:
Category : Bioengineering
Languages : en
Pages : 736
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Author: Simon Wood
Publisher: CRC Press
ISBN: 1584884746
Category : Mathematics
Languages : en
Pages : 412
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Book Description
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 948
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Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
