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  3. time series analysis

Periodically Correlated Random Sequences: Spectral Theory and Practice

Posted By: AvaxGenius
Date: 30 Jan 2024 07:15:50
Periodically Correlated Random Sequences: Spectral Theory and Practice

Periodically Correlated Random Sequences: Spectral Theory and Practice by Harry L. Hurd, Abolghassem Miamee
English | PDF | 2007 | 370 Pages | ISBN : 047134771X | 14.6 MB

Uniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis
The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as meteorology, climate, communications, economics, andmachine diagnostics. Periodically Correlated Random Sequencespresents the main ideas of these processes through the use of basicdefinitions along with motivating, insightful, and illustrativeexamples. Extensive coverage of key concepts is provided, includingsecond-order theory, Hilbert spaces, Fourier theory, and thespectral theory of harmonizable sequences. The authors also providea paradigm for nonparametric time series analysis including testsfor the presence of PC structures.
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Empirical Process Techniques for Dependent Data

Posted By: AvaxGenius
Date: 7 Aug 2023 15:25:41
Empirical Process Techniques for Dependent Data

Empirical Process Techniques for Dependent Data by Herold Dehling, Thomas Mikosch, Michael Sørensen
English | PDF | 2002 | 378 Pages | ISBN : 0817642013 | 54.8 MB

Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence structure in data sets from many different subject areas such as finance, insurance, and telecommunications has led to new developments concerning the empirical distribution function and the empirical process for dependent, mostly stationary sequences. This work gives an introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and surveys the most recent developments in various related fields.
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Recent Developments in Multivariate and Random Matrix Analysis: Festschrift in Honour of Dietrich von Rosen

Posted By: AvaxGenius
Date: 26 Aug 2022 13:39:02
Recent Developments in Multivariate and Random Matrix Analysis: Festschrift in Honour of Dietrich von Rosen

Recent Developments in Multivariate and Random Matrix Analysis: Festschrift in Honour of Dietrich von Rosen by Thomas Holgersson, Martin Singull
English | EPUB | 2020 386 Pages | ISBN : 3030567729 | 21.8 MB

This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth curve models.
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Statistical Analysis and Forecasting of Economic Structural Change

Posted By: AvaxGenius
Date: 26 Jun 2022 18:35:15
Statistical Analysis and Forecasting of Economic Structural Change

Statistical Analysis and Forecasting of Economic Structural Change by Peter Hackl
English | PDF | 1989 | 495 Pages | ISBN : 3662025736 | 41 MB

In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change.
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Proceedings of International Conference on Computational Intelligence: ICCI 2020

Posted By: AvaxGenius
Date: 22 Feb 2022 14:40:01
Proceedings of International Conference on Computational Intelligence: ICCI 2020

Proceedings of International Conference on Computational Intelligence: ICCI 2020 by Ritu Tiwari
English | EPUB | 2022 | 373 Pages | ISBN : 9811638012 | 56.2 MB

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12–13 December, 2020. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning.
Science artificial intelligence neural network deep learning techniques fuzzy theory systems rough sets self-organizing maps machine learning chaotic systems multi-agent systems computational optimization ensemble classifiers reinforcement learning decision trees support vector machines hybrid learning statistical learning. metaheuristics algorithms genetic algorithms genetic programming differential evolution particle swarm optimization whale optimization spider monkey optimization firefly algorithm memetic algorithms machine vision Internet of Things image processing image segmentation data clustering sentiment analysis big data computer networks signal processing supply chain management web mining text mining distributed systems bioinformatics embedded systems expert system forecasting pattern recognition planning and scheduling time series analysis human-computer interaction natural language processing multimedia systems quantum computing Computational Intelligence Machine Learning Evolutionary Algorithms Artificial Neural Network Fuzzy Logic Swarm Intelligence Artificial Intelligence Cyber-physical systems IoT Professional Computing Algorithms
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Introduction to Time Series and Forecasting

Posted By: AvaxGenius
Date: 14 Nov 2021 17:11:40
Introduction to Time Series and Forecasting

Introduction to Time Series and Forecasting by Peter J. Brockwell
English | PDF | 1996 | 429 Pages | ISBN : 0387947191 | 34.7 MB

Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics.
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Simplicity of Complexity in Economic and Social Systems

Posted By: AvaxGenius
Date: 26 Oct 2021 17:45:03
Simplicity of Complexity in Economic and Social Systems

Simplicity of Complexity in Economic and Social Systems: Proceedings of the 54th Winter School of Theoretical Physics, Lądek Zdrój, Poland, February 18–24th 2018 by Dariusz Grech
English | EPUB | 2021 | 139 Pages | ISBN : 3030561593 | 16.6 MB

This book presents the Proceedings of the 54th Winter School of Theoretical Physics on Simplicity of Complexity in Economic and Social Systems, held in Lądek Zdrój, Poland, from 18 to 24 February 2018.
The purpose of the book is to introduce the new interdisciplinary research that links statistical physics, and particular attention is given to link physics of complex systems, with financial analysis and sociology.
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Time Series and Statistics

Posted By: AvaxGenius
Date: 8 Dec 2020 16:15:30
Time Series and Statistics

Time Series and Statistics by John Eatwell
English | PDF | 1990 | 336 Pages | ISBN : 0333495519 | 29.8 MB

This is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on time series and statistics.
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Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2019

Posted By: AvaxGenius
Date: 20 Nov 2020 22:08:40
Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2019

Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2019 by Olga Valenzuela
English | PDF,EPUB | 2020 | 452 Pages | ISBN : 3030562182 | 81.1 MB

This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis.
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Simplicity of Complexity in Economic and Social Systems

Posted By: AvaxGenius
Date: 8 Nov 2020 16:37:49
Simplicity of Complexity in Economic and Social Systems

Simplicity of Complexity in Economic and Social Systems: Proceedings of the 54th Winter School of Theoretical Physics, Lądek Zdrój, Poland, February 18–24th 2018 by Dariusz Grech
English | PDF | 2021 | 139 Pages | ISBN : 3030561593 | 3.7 MB

This book presents the Proceedings of the 54th Winter School of Theoretical Physics on Simplicity of Complexity in Economic and Social Systems, held in Lądek Zdrój, Poland, from 18 to 24 February 2018.
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