Networks And Chaos Statistical And Probabilistic Aspects

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Networks and Chaos - Statistical and Probabilistic Aspects

J L Jensen,Wilfrid S. Kendall
Networks and Chaos Statistical and Probabilistic Aspects Book PDF

Author : J L Jensen,Wilfrid S. Kendall
Publisher : CRC Press
Page : 324 pages
File Size : 53,9 Mb
Release : 1993-07-22
Category : Mathematics
ISBN : 0412465302

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Networks and Chaos - Statistical and Probabilistic Aspects by J L Jensen,Wilfrid S. Kendall Pdf

This volume consists of a collection of tutorial papers by leading experts on statistical and probabilistic aspects of chaos and networks, in particular neural networks. While written for the non-expert, they are intended to bring the reader up to the forefront of knowledge and research in the subject areas concerned. The papers, which contain extensive references to the literature, can separately or in various combinations serve as bases for short- or full-length courses, at graduate or more advanced levels. The papers are directed not only to mathematical statisticians but also to students and researchers in related fields of biology, engineering, geology, physics and probability.

Networks and Chaos — Statistical and Probabilistic Aspects

O. E. Barndorff-Nielsen,J. L. Jensen,W. S. Kendall
Networks and Chaos Statistical and Probabilistic Aspects Book PDF

Author : O. E. Barndorff-Nielsen,J. L. Jensen,W. S. Kendall
Publisher : Springer
Page : 307 pages
File Size : 45,8 Mb
Release : 2013-10-29
Category : Mathematics
ISBN : 1489931007

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Networks and Chaos — Statistical and Probabilistic Aspects by O. E. Barndorff-Nielsen,J. L. Jensen,W. S. Kendall Pdf

This volume consists of the revised versions of most of the main papers given at the first Seminaire Europeen de Statistique on Chaos and Neural Networks and at the subsequent Study Institute on other types ofnetworks, held at Sandbjerg/Aarhus University from 25 April to 7 May 1992. The aim of the Seminaire Europeen de Statistique and the Study Institute, in which about 35 young statisticians from all over Europe participated, was to provide talented young researchers in statistics with an opportunity to get quickly to the forefront of knowledge and research in the statistical aspects of chaos and networks. Accordingly the papers in this volume all have a tutorial character and it is hoped that they will be found broadly useful. The first Seminaire Europeen de Statistique was organized by O.E. Barndorff-Nielsen, Aarbus University; D.R. Cox, Nuffield College, Oxford; Jens Ledet Jensen, Aarbus University; Wilfrid S. Kendall, University of Warwick; and Gerard Letac, Universite Paul Sabatier, Toulouse. It is hoped in the future to arrange further Seminaires Europeens de Statistique, each one devoted to one or two research topics of great current interest and activity. The Seminaire Europeen de Statistique and Study Institute was supported by the Directorate General for Science and Development of the European Communities and by the Danish Research Acad emy, and their support is gratefully acknowledged.

Artificial Neural Networks in Medicine and Biology

H. Malmgren,M. Borga,L. Niklasson
Artificial Neural Networks in Medicine and Biology Book PDF

Author : H. Malmgren,M. Borga,L. Niklasson
Publisher : Springer Science & Business Media
Page : 339 pages
File Size : 47,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447105138

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Artificial Neural Networks in Medicine and Biology by H. Malmgren,M. Borga,L. Niklasson Pdf

This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: • Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. • Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. • Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches.

From Statistics to Neural Networks

Vladimir Cherkassky,Jerome H. Friedman,Harry Wechsler
From Statistics to Neural Networks Book PDF

Author : Vladimir Cherkassky,Jerome H. Friedman,Harry Wechsler
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642791192

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From Statistics to Neural Networks by Vladimir Cherkassky,Jerome H. Friedman,Harry Wechsler Pdf

The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, 1993. The meeting brought to gether over 100 participants (including 19 invited lecturers) from 20 countries. The invited lecturers whose contributions appear in this volume are: L. Almeida (INESC, Portugal), G. Carpenter (Boston, USA), V. Cherkassky (Minnesota, USA), F. Fogelman Soulie (LRI, France), W. Freeman (Berkeley, USA), J. Friedman (Stanford, USA), F. Girosi (MIT, USA and IRST, Italy), S. Grossberg (Boston, USA), T. Hastie (AT&T, USA), J. Kittler (Surrey, UK), R. Lippmann (MIT Lincoln Lab, USA), J. Moody (OGI, USA), G. Palm (U1m, Germany), B. Ripley (Oxford, UK), R. Tibshirani (Toronto, Canada), H. Wechsler (GMU, USA), C. Wellekens (Eurecom, France) and H. White (San Diego, USA). The ASI consisted of lectures overviewing major aspects of statistical and neural network learning, their links to biological learning and non-linear dynamics (chaos), and real-life examples of pattern recognition applications. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (1) Unified framework for the study of Predictive Learning in Statistics and Artificial Neural Networks (ANNs); (2) Differences and similarities between statistical and ANN methods for non parametric estimation from examples (learning); (3) Fundamental connections between artificial learning systems and biological learning systems.

Elements of Computational Statistics

James E. Gentle
Elements of Computational Statistics Book PDF

Author : James E. Gentle
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 40,5 Mb
Release : 2006-04-18
Category : Computers
ISBN : 9780387216119

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Elements of Computational Statistics by James E. Gentle Pdf

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books

Nonlinear Dynamics and Statistics

Alistair I. Mees
Nonlinear Dynamics and Statistics Book PDF

Author : Alistair I. Mees
Publisher : Springer Science & Business Media
Page : 484 pages
File Size : 43,9 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461201779

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Nonlinear Dynamics and Statistics by Alistair I. Mees Pdf

This book describes the state of the art in nonlinear dynamical reconstruction theory. The chapters are based upon a workshop held at the Isaac Newton Institute, Cambridge University, UK, in late 1998. The book's chapters present theory and methods topics by leading researchers in applied and theoretical nonlinear dynamics, statistics, probability, and systems theory. Features and topics: * disentangling uncertainty and error: the predictability of nonlinear systems * achieving good nonlinear models * delay reconstructions: dynamics vs. statistics * introduction to Monte Carlo Methods for Bayesian Data Analysis * latest results in extracting dynamical behavior via Markov Models * data compression, dynamics and stationarity Professionals, researchers, and advanced graduates in nonlinear dynamics, probability, optimization, and systems theory will find the book a useful resource and guide to current developments in the subject.

Pattern Recognition and Neural Networks

Brian D. Ripley
Pattern Recognition and Neural Networks Book PDF

Author : Brian D. Ripley
Publisher : Cambridge University Press
Page : 422 pages
File Size : 52,6 Mb
Release : 1996-01-18
Category : Computers
ISBN : 0521460867

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Pattern Recognition and Neural Networks by Brian D. Ripley Pdf

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Nonlinear Dynamics and Time Series

Colleen D. Cutler,Daniel T. Kaplan
Nonlinear Dynamics and Time Series Book PDF

Author : Colleen D. Cutler,Daniel T. Kaplan
Publisher : American Mathematical Soc.
Page : 266 pages
File Size : 40,7 Mb
Release : 2024-06-16
Category : Mathematics
ISBN : 0821871196

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Nonlinear Dynamics and Time Series by Colleen D. Cutler,Daniel T. Kaplan Pdf

Lars Ahlfors's Lectures on Quasiconformal Mappings, based on a course he gave at Harvard University in the spring term of 1964, was first published in 1966 and was soon recognized as the classic it was shortly destined to become. These lectures develop the theory of quasiconformal mappings from scratch, give a self-contained treatment of the Beltrami equation, and cover the basic properties of Teichmuller spaces, including the Bers embedding and the Teichmuller curve. It isremarkable how Ahlfors goes straight to the heart of the matter, presenting major results with a minimum set of prerequisites. Many graduate students and other mathematicians have learned the foundations of the theories of quasiconformal mappings and Teichmuller spaces from these lecture notes. This editionincludes three new chapters. The first, written by Earle and Kra, describes further developments in the theory of Teichmuller spaces and provides many references to the vast literature on Teichmuller spaces and quasiconformal mappings. The second, by Shishikura, describes how quasiconformal mappings have revitalized the subject of complex dynamics. The third, by Hubbard, illustrates the role of these mappings in Thurston's theory of hyperbolic structures on 3-manifolds. Together, these threenew chapters exhibit the continuing vitality and importance of the theory of quasiconformal mappings. This book is a collection of research and expository papers reflecting the interfacing of two fields: nonlinear dynamics (in the physiological and biological sciences) and statistics. It presents theproceedings of a four-day workshop entitled ''Nonlinear Dynamics and Time Series: Building a Bridge Between the Natural and Statistical Sciences'' held at the Centre de Recherches Mathematiques (CRM) in Montreal in July 1995. The goal of the workshop was to provide an exchange forum and to create a link between two diverse groups with a common interest in the analysis of nonlinear time series data. The editors and peer reviewers of this work have attempted to minimize the problems ofmaintaining communication between the different scientific fields. The result is a collection of interrelated papers that highlight current areas of research in statistics that might have particular applicability to nonlinear dynamics and new methodology and open data analysis problems in nonlinear dynamicsthat might find their way into the toolkits and research interests of statisticians. Features: A survey of state-of-the-art developments in nonlinear dynamics time series analysis with open statistical problems and areas for further research. Contributions by statisticians to understanding and improving modern techniques commonly associated with nonlinear time series analysis, such as surrogate data methods and estimation of local Lyapunov exponents. Starting point for both scientists andstatisticians who want to explore the field. Expositions that are readable to scientists outside the featured fields of specialization. Information for our distributors: Titles in this series are copublished with the Fields Institute for Research in Mathematical Sciences (Toronto, Ontario,Canada).

Neural Networks and Genome Informatics

C.H. Wu,J.W. McLarty
Neural Networks and Genome Informatics Book PDF

Author : C.H. Wu,J.W. McLarty
Publisher : Elsevier
Page : 220 pages
File Size : 44,6 Mb
Release : 2012-12-02
Category : Science
ISBN : 0080537375

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Neural Networks and Genome Informatics by C.H. Wu,J.W. McLarty Pdf

This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions.

A Probabilistic Theory of Pattern Recognition

Luc Devroye,Laszlo Györfi,Gabor Lugosi
A Probabilistic Theory of Pattern Recognition Book PDF

Author : Luc Devroye,Laszlo Györfi,Gabor Lugosi
Publisher : Springer Science & Business Media
Page : 631 pages
File Size : 51,7 Mb
Release : 2013-11-27
Category : Mathematics
ISBN : 9781461207115

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A Probabilistic Theory of Pattern Recognition by Luc Devroye,Laszlo Györfi,Gabor Lugosi Pdf

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition

Simon P. Washington,Matthew G. Karlaftis,Fred Mannering
Statistical and Econometric Methods for Transportation Data Analysis Second Edition Book PDF

Author : Simon P. Washington,Matthew G. Karlaftis,Fred Mannering
Publisher : CRC Press
Page : 544 pages
File Size : 51,8 Mb
Release : 2010-12-02
Category : Technology & Engineering
ISBN : 9781420082869

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Statistical and Econometric Methods for Transportation Data Analysis, Second Edition by Simon P. Washington,Matthew G. Karlaftis,Fred Mannering Pdf

The complexity, diversity, and random nature of transportation problems necessitates a broad analytical toolbox. Describing tools commonly used in the field, Statistical and Econometric Methods for Transportation Data Analysis, Second Edition provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies covering applications in various aspects of transportation planning, engineering, safety, and economics. After a solid refresher on statistical fundamentals, the book focuses on continuous dependent variable models and count and discrete dependent variable models. Along with an entirely new section on other statistical methods, this edition offers a wealth of new material. New to the Second Edition A subsection on Tobit and censored regressions An explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods New chapter that presents logistic regression commonly used to model binary outcomes New chapter on ordered probability models New chapters on random-parameter models and Bayesian statistical modeling New examples and data sets Each chapter clearly presents fundamental concepts and principles and includes numerous references for those seeking additional technical details and applications. To reinforce a practical understanding of the modeling techniques, the data sets used in the text are offered on the book’s CRC Press web page. PowerPoint and Word presentations for each chapter are also available for download.

Celebrating Statistics

A. C. Davison,Yadolah Dodge,N. Wermuth
Celebrating Statistics Book PDF

Author : A. C. Davison,Yadolah Dodge,N. Wermuth
Publisher : OUP Oxford
Page : 320 pages
File Size : 41,7 Mb
Release : 2005-09-22
Category : Mathematics
ISBN : 9780191524219

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Celebrating Statistics by A. C. Davison,Yadolah Dodge,N. Wermuth Pdf

Sir David Cox is among the most important statisticians of the past half-century. He has made pioneering and highly influential contributions to a uniquely wide range of topics in statistics and applied probability. His teaching has inspired generations of students, and many well-known researchers have begun as his graduate students or have worked with him at early stages of their careers. Legions of others have been stimulated and enlightened by the clear, concise, and direct exposition exemplified by his many books, papers, and lectures. This book presents a collection of chapters by major statistical researchers who attended a conference held at the University of Neuchatel in July 2004 to celebrate David Cox's 80th birthday. Each chapter is carefully crafted and collectively present current developments across a wide range of research areas from epidemiology, environmental science, finance, computing and medicine. Edited by Anthony Davison, Ecole Polytechnique Federale de Lausanne, Switzerland; Yadolah Dodge, University of Neuchatel, Switzerland; and N. Wermuth, Goteborg University, Sweden, with chapters by Ole E. Barndorff-Nielsen, Sarah C. Darby, Christina Davies, Peter J. Diggle, David Firth, Peter Hall, Valerie S. Isham, Kung-Yee Liang, Peter McCullagh, Paul McGale, Amilcare Porporato, Nancy Reid, Brian D. Ripley, Ignacio Rodriguez-Iturbe, Andrea Rotnitzky, Neil Shephard, Scott L. Zeger, and including a brief biography of David Cox, this book is suitable for students of statistics, epidemiology, environmental science, finance, computing and medicine, and academic and practising statisticians.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 49,8 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Data Mining and Knowledge Discovery Handbook

Oded Z. Maimon,Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Z. Maimon,Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1436 pages
File Size : 45,6 Mb
Release : 2005
Category : Computers
ISBN : 0387244352

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Data Mining and Knowledge Discovery Handbook by Oded Z. Maimon,Oded Maimon,Lior Rokach Pdf

Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.

Compstat

Rudolf Dutter,Wilfried Grossmann
Compstat Book PDF

Author : Rudolf Dutter,Wilfried Grossmann
Publisher : Physica
Page : 558 pages
File Size : 50,5 Mb
Release : 2013-12-20
Category : Business & Economics
ISBN : 9783642524639

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Compstat by Rudolf Dutter,Wilfried Grossmann Pdf

This book assembles papers which were presented at the biennial sympo sium in Computational Statistics held und er the a!uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna tional Statistical Institute. This symposium named COMPSTAT '94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT Symposia started 1974 in Vienna. Mean while they took place every other year in Berlin (Germany, 1976), Leiden (The Netherlands, 1978), Edinburgh (Great Britain, 1980), Toulouse (France, 1982), Prague (Czechoslovakia, 1984), Rom (Italy, 1986), Copenhagen (Den mark, 1988), Dubrovnik (Yugoslavia, 1990) and Neuchätel (Switzerland, 1992). This year we are celebrating the 20th anniversary in Vienna, Austria. It has obviously been observed a movement from "traditional" computa tional statistics with emphasis on methods which produce results quickly and reliably, to computationally intensive methods like resampling procedures, Bayesian methods, dynamic graphics, to very recent areas like neural net works, accentuation on spatial statistics, huge data sets, analysis strategies, etc. For the organization of the symposium, new guidelines worked out by the IASC in written form were in effect this time. The goal was to refresh somehow the spirit of the start of COMPSTAT '74, keep the tradition of the series and ensure a certain continuity in the sequence of biannual meetings.