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Compression Based Methods Of Statistical Analysis And Prediction Of Time Series


Compression Based Methods Of Statistical Analysis And Prediction Of Time Series
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Compression Based Methods Of Statistical Analysis And Prediction Of Time Series


Compression Based Methods Of Statistical Analysis And Prediction Of Time Series
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Author : Boris Ryabko
language : en
Publisher: Springer
Release Date : 2016-05-19

Compression Based Methods Of Statistical Analysis And Prediction Of Time Series written by Boris Ryabko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-19 with Computers categories.


Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area. The first chapter introduces and describes the application of universal codes to prediction and the statistical analysis of time series; the second chapter describes applications of selected statistical methods to cryptography, including attacks on block ciphers; and the third chapter describes a homogeneity test used to determine authorship of literary texts. The book will be useful for researchers and advanced students in information theory, mathematical statistics, time-series analysis, and cryptography. It is assumed that the reader has some grounding in statistics and in information theory.



Asymptotic Nonparametric Statistical Analysis Of Stationary Time Series


Asymptotic Nonparametric Statistical Analysis Of Stationary Time Series
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Author : Daniil Ryabko
language : en
Publisher: Springer
Release Date : 2019-03-07

Asymptotic Nonparametric Statistical Analysis Of Stationary Time Series written by Daniil Ryabko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-07 with Computers categories.


Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail. However, it has long been considered too general to be able to make statistical inference. One of the reasons for this is that rates of convergence, even of frequencies to the mean, are not available under this assumption alone. Recently, it has been shown that, while some natural and simple problems, such as homogeneity, are indeed provably impossible to solve if one only assumes that the data is stationary (or stationary ergodic), many others can be solved with rather simple and intuitive algorithms. The latter include clustering and change point estimation among others. In this volume these results are summarize. The emphasis is on asymptotic consistency, since this the strongest property one can obtain assuming stationarity alone. While for most of the problem for which a solution is found this solution is algorithmically realizable, the main objective in this area of research, the objective which is only partially attained, is to understand what is possible and what is not possible to do for stationary time series. The considered problems include homogeneity testing (the so-called two sample problem), clustering with respect to distribution, clustering with respect to independence, change point estimation, identity testing, and the general problem of composite hypotheses testing. For the latter problem, a topological criterion for the existence of a consistent test is presented. In addition, a number of open problems is presented.



Universal Time Series Forecasting With Mixture Predictors


Universal Time Series Forecasting With Mixture Predictors
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Author : Daniil Ryabko
language : en
Publisher: Springer Nature
Release Date : 2020-09-26

Universal Time Series Forecasting With Mixture Predictors written by Daniil Ryabko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-26 with Computers categories.


The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as machine learning, information theory and data compression.



Data Analysis And Optimization


Data Analysis And Optimization
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Author : Boris Goldengorin
language : en
Publisher: Springer Nature
Release Date : 2023-09-23

Data Analysis And Optimization written by Boris Goldengorin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-23 with Computers categories.


This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.



Handbook Of Research On Computational Intelligence For Engineering Science And Business


Handbook Of Research On Computational Intelligence For Engineering Science And Business
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Author : Bhattacharyya, Siddhartha
language : en
Publisher: IGI Global
Release Date : 2012-11-30

Handbook Of Research On Computational Intelligence For Engineering Science And Business written by Bhattacharyya, Siddhartha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-30 with Computers categories.


Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.



Advances In Geophysics Tectonics And Petroleum Geosciences


Advances In Geophysics Tectonics And Petroleum Geosciences
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Author : Mustapha Meghraoui
language : en
Publisher: Springer Nature
Release Date : 2022-04-21

Advances In Geophysics Tectonics And Petroleum Geosciences written by Mustapha Meghraoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-21 with Science categories.


This edited book is based on the best papers accepted for presentation during the 2nd Springer Conference of the Arabian Journal of Geosciences (CAJG-2), Tunisia, in 2019. It is of interest to all researchers practicing geophysics/seismology, structural, and petroleum geology. With four sections spanning a large spectrum of geological and geophysical topics with particular reference to Middle East, Mediterranean region, and Africa, this book presents a series of research methods that are nowadays in use for measuring, quantifying, and analyzing several geological domains. It starts with a subsection dedicated to the latest research studies on seismic hazard and risk assessment in Africa presented during the 2019 IGCP-659 meeting organized alongside the CAJG-2. And, it includes new research studies on earthquake geodesy, seismotectonics, archeoseismology and active faulting, well logging methods, geodesy and exploration/theoretical geophysics, petroleum geochemistry, petroleum engineering, structural geology, basement architecture and potential data, tectonics and geodynamics, and thermicity, petroleum, and other georesources. The edited book gives insights into the fundamental questions that address the genesis and evolution of our planet, and this is based on data collection and experimental investigations under physical constitutive laws. These multidisciplinary approaches combined with the geodynamics of tectonic provinces and investigations of potential zones of natural resources (petroleum reservoirs) provide the basis for a more sustainability in the economic development.



International Conference Of Computational Methods In Sciences And Engineering Iccmse 2004


International Conference Of Computational Methods In Sciences And Engineering Iccmse 2004
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Author : Theodore Simos
language : en
Publisher: CRC Press
Release Date : 2019-04-29

International Conference Of Computational Methods In Sciences And Engineering Iccmse 2004 written by Theodore Simos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-29 with Computers categories.


The International Conference of Computational Methods in Sciences and Engineering (ICCMSE) is unique in its kind. It regroups original contributions from all fields of the traditional Sciences, Mathematics, Physics, Chemistry, Biology, Medicine and all branches of Engineering. The aim of the conference is to bring together computational scientists from several disciplines in order to share methods and ideas. More than 370 extended abstracts have been submitted for consideration for presentation in ICCMSE 2004. From these, 289 extended abstracts have been selected after international peer review by at least two independent reviewers.



Springer Handbook Of Computational Intelligence


Springer Handbook Of Computational Intelligence
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Author : Janusz Kacprzyk
language : en
Publisher: Springer
Release Date : 2015-05-28

Springer Handbook Of Computational Intelligence written by Janusz Kacprzyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-28 with Technology & Engineering categories.


The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.



Information Theory Combinatorics And Search Theory


Information Theory Combinatorics And Search Theory
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Author : Harout Aydinian
language : en
Publisher: Springer
Release Date : 2013-03-09

Information Theory Combinatorics And Search Theory written by Harout Aydinian and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.


This volume is dedicated to the memory of Rudolf Ahlswede, who passed away in December 2010. The Festschrift contains 36 thoroughly refereed research papers from a memorial symposium, which took place in July 2011. The four macro-topics of this workshop: theory of games and strategic planning; combinatorial group testing and database mining; computational biology and string matching; information coding and spreading and patrolling on networks; provide a comprehensive picture of the vision Rudolf Ahlswede put forward of a broad and systematic theory of search.



Selected Topics In Information And Coding Theory


Selected Topics In Information And Coding Theory
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Author : Isaac Woungang
language : en
Publisher: World Scientific
Release Date : 2010

Selected Topics In Information And Coding Theory written by Isaac Woungang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.


Pt. 1. Applications of coding theory to computational complexity. ch. 1. Linear complexity and related complexity measures / Arne Winterhof. ch. 2. Lattice and construction of high coding gain lattices from codes / Mohammd-Reza Sadeghi. ch. 3. Distributed space-time codes with low ML decoding complexity / G. Susinder Rajan and B. Sundar Rajan -- pt. 2. Methods of algebraic combinatorics in coding theory/codes construction and existence. ch. 4. Coding theory and algebraic combinatorics / Michael Huber. ch. 5. Block codes from matrix and group rings / Paul Hurley and Ted Hurley. ch. 6. LDPC and convolutional codes from matrix and group rings / Paul Hurley and Ted Hurley. ch. 7. Search for good linear codes in the class of quasi-cyclic and related codes / Nuh Aydin and Tsvetan Asamov -- pt. 3. Source coding/channel capacity/network coding. ch. 8. Applications of universal source coding to statistical analysis of time series / Boris Ryabko. ch. 9. Introduction to network coding for acyclic and cyclic networks / Ángela I. Barbero and Øyvind Ytrehus. ch. 10. Distributed joint source-channel coding on a multiple access channel / Vinod Sharma and R. Rajesh -- pt. 4. Other selected topics in information and coding theory. ch. 11. Low-density parity-check codes and the related performance analysis methods / Xudong Ma. ch. 12. Variable length codes and finite automata / Marie-Pierre Béal [und weitere]. ch. 13. Decoding and finding the minimum distance with Gröbner Bases : history and new insights / Stanislav Bulygin and Ruud Pellikaan. ch. 14. Cooperative diversity systems for wireless communication / Murat Uysal and Muhammad Mehboob Fareed. ch. 15. Public key cryptography and coding theory / Pascal Véron