Chaos A Statistical Perspective PDF Download
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Author | : Kung-Sik Chan |
Publisher | : Springer Science & Business Media |
Total Pages | : 312 |
Release | : 2013-03-09 |
Genre | : Mathematics |
ISBN | : 1475734646 |
Download Chaos: A Statistical Perspective Book in PDF, ePub and Kindle
This book discusses dynamical systems that are typically driven by stochastic dynamic noise. It is written by two statisticians essentially for the statistically inclined readers. It covers many of the contributions made by the statisticians in the past twenty years or so towards our understanding of estimation, the Lyapunov-like index, the nonparametric regression, and many others, many of which are motivated by their dynamical system counterparts but have now acquired a distinct statistical flavor.
Author | : Kung-Sik Chan |
Publisher | : |
Total Pages | : 324 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781475734652 |
Download Chaos Book in PDF, ePub and Kindle
Author | : William A. Brock |
Publisher | : MIT Press |
Total Pages | : 362 |
Release | : 1991 |
Genre | : Business & Economics |
ISBN | : 9780262023290 |
Download Nonlinear Dynamics, Chaos, and Instability Book in PDF, ePub and Kindle
Brock, Hsieh, and LeBaron show how the principles of chaos theory can be applied to such areas of economics and finance as the changing structure of stock returns and nonlinearity in foreign exchange.
Author | : J L Jensen |
Publisher | : CRC Press |
Total Pages | : 324 |
Release | : 1993-07-22 |
Genre | : Mathematics |
ISBN | : 9780412465307 |
Download Networks and Chaos - Statistical and Probabilistic Aspects Book in PDF, ePub and Kindle
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.
Author | : Richard A. Berk |
Publisher | : Springer Science & Business Media |
Total Pages | : 373 |
Release | : 2008-06-14 |
Genre | : Mathematics |
ISBN | : 0387775013 |
Download Statistical Learning from a Regression Perspective Book in PDF, ePub and Kindle
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical. Real applications are emphasized, especially those with practical implications. One important theme is the need to explicitly take into account asymmetric costs in the fitting process. For example, in some situations false positives may be far less costly than false negatives. Another important theme is to not automatically cede modeling decisions to a fitting algorithm. In many settings, subject-matter knowledge should trump formal fitting criteria. Yet another important theme is to appreciate the limitation of one’s data and not apply statistical learning procedures that require more than the data can provide. The material is written for graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. Intuitive explanations and visual representations are prominent. All of the analyses included are done in R.
Author | : James O. Berger |
Publisher | : Springer Science & Business Media |
Total Pages | : 633 |
Release | : 2013-03-14 |
Genre | : Mathematics |
ISBN | : 147574286X |
Download Statistical Decision Theory and Bayesian Analysis Book in PDF, ePub and Kindle
In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
Author | : F. Liese |
Publisher | : Springer Science & Business Media |
Total Pages | : 696 |
Release | : 2008-12-30 |
Genre | : Mathematics |
ISBN | : 0387731946 |
Download Statistical Decision Theory Book in PDF, ePub and Kindle
For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.
Author | : Christos H. Skiadas |
Publisher | : World Scientific |
Total Pages | : 411 |
Release | : 2010 |
Genre | : Science |
ISBN | : 9814299723 |
Download Chaotic Systems Book in PDF, ePub and Kindle
This volume contains a collection of papers suggested by the Scientific Committee that includes the best papers presented in the 2nd International Conference (CHAOS2009) on Chaotic Modeling, Simulation and Applications, that was held in Chania, Crete, Greece, June 1-5, 2009. The aim of the conference was to invite and bring together people working in interesting topics of chaotic modeling, nonlinear and dynamical systems and chaotic simulation. The volume presents theoretical and applied contributions on chaotic systems. Papers from several nonlinear analysis and chaotic fields are included and new and very important results are presented. Emphasis was given to the selection of works that have significant impact in the chaotic field and open new horizons to further develop related topics and subjects. Even more the selected papers are addressed to an interdisciplinary audience aiming at the broad dissemination of the theory and practice of chaotic modeling and simulation and nonlinear science.
Author | : |
Publisher | : |
Total Pages | : |
Release | : |
Genre | : |
ISBN | : 9814465283 |
Download Chaotic Systems Book in PDF, ePub and Kindle
Author | : Martin C. Gutzwiller |
Publisher | : Springer Science & Business Media |
Total Pages | : 445 |
Release | : 2013-11-27 |
Genre | : Mathematics |
ISBN | : 1461209838 |
Download Chaos in Classical and Quantum Mechanics Book in PDF, ePub and Kindle
Describes the chaos apparent in simple mechanical systems with the goal of elucidating the connections between classical and quantum mechanics. It develops the relevant ideas of the last two decades via geometric intuition rather than algebraic manipulation. The historical and cultural background against which these scientific developments have occurred is depicted, and realistic examples are discussed in detail. This book enables entry-level graduate students to tackle fresh problems in this rich field.