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Markov Chain Aggregation for Agent-Based Models, Banisch Sven


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Автор: Banisch Sven
Название:  Markov Chain Aggregation for Agent-Based Models
ISBN: 9783319796918
Издательство: Springer
Классификация:






ISBN-10: 3319796917
Обложка/Формат: Paperback
Страницы: 195
Вес: 0.30 кг.
Дата издания: 30.03.2018
Серия: Understanding complex systems
Язык: English
Издание: Softcover reprint of
Иллюстрации: 18 illustrations, color; 65 illustrations, black and white; xiv, 195 p. 83 illus., 18 illus. in color.
Размер: 23.39 x 15.60 x 1.14 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible.

Markov chain aggregation for agent-based models

Автор: Banisch, Sven
Название: Markov chain aggregation for agent-based models
ISBN: 3319248758 ISBN-13(EAN): 9783319248752
Издательство: Springer
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Цена: 65210.00 T
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Описание: This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible.

Financial Statements-Based Bank Risk Aggregation

Автор: Li Jianping, Wei Lu, Zhu Xiaoqian
Название: Financial Statements-Based Bank Risk Aggregation
ISBN: 9811904073 ISBN-13(EAN): 9789811904073
Издательство: Springer
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Цена: 130430.00 T
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Описание: It makes full use of information recorded in financial statements, including income statement, on- and off-balance sheet assets, and textual risk disclosures, which solves the problem of data shortage in bank risk aggregation to some extent and improves the reliability and rationality of bank risk aggregation results.

Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Автор: Daniela Sanchez; Patricia Melin
Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
ISBN: 331928861X ISBN-13(EAN): 9783319288611
Издательство: Springer
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Цена: 60940.00 T
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Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;

Aggregation in Large-Scale Optimization

Автор: I. Litvinchev; Vladimir Tsurkov
Название: Aggregation in Large-Scale Optimization
ISBN: 1461348129 ISBN-13(EAN): 9781461348122
Издательство: Springer
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Цена: 93160.00 T
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Описание: When analyzing systems with a large number of parameters, the dimen- sion of the original system may present insurmountable difficulties for the analysis.

Aggregation and Fusion of Imperfect Information

Автор: Bernadette Bouchon-Meunier
Название: Aggregation and Fusion of Imperfect Information
ISBN: 3790810487 ISBN-13(EAN): 9783790810486
Издательство: Springer
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Цена: 130430.00 T
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Описание: This text presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability of knowledge is imperfect.

An Introduction to Data Analysis Using Aggregation Functions in R

Автор: James Simon
Название: An Introduction to Data Analysis Using Aggregation Functions in R
ISBN: 3319835793 ISBN-13(EAN): 9783319835792
Издательство: Springer
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Цена: 46570.00 T
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Описание: This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools.

Solving Network Design Problems via Decomposition, Aggregation and Approximation

Автор: B?rmann
Название: Solving Network Design Problems via Decomposition, Aggregation and Approximation
ISBN: 3658139129 ISBN-13(EAN): 9783658139124
Издательство: Springer
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Цена: 60940.00 T
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Описание:

Andreas B?rmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.

Isolation and Aggregation in Economics

Автор: Ekkehart Schlicht
Название: Isolation and Aggregation in Economics
ISBN: 3642703003 ISBN-13(EAN): 9783642703003
Издательство: Springer
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Цена: 102480.00 T
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Описание: In order to solve a given problem, economic analysis is com- pelled to concentrate on the interaction of selected factors while disregarding a multitude of other influences. This book offers a discussion of certain central premises involved here and draws some analytical consequences. The argument is fo- cused on process analysis, i.e., on the analysis of economic processes within a given institutional setting, although certain corollaries for institutional analysis are patent. Many colleagues and students have helped me, for many years, to develop the views presented here, and it seems im- possible to trace individual influences. Thus I can only ex- press my indebtedness in a macro sense. I wish to thank the Westdeutscher Verlag for its kind per- mission to use material from my Grundlagen der okonomi- schen Analyse. The results of Chap. 4 were presented at the Econometric Society European Meeting in Pisa, 1983. Dr. W. A. MUller from Springer-Verlag has encouraged me to write this book and has been helpful in many ways.

An Introduction to Data Analysis using Aggregation Functions in R

Автор: Simon James
Название: An Introduction to Data Analysis using Aggregation Functions in R
ISBN: 3319467611 ISBN-13(EAN): 9783319467610
Издательство: Springer
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Цена: 53100.00 T
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Описание:

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.

Productivity: Concepts, Measurement, Aggregation, and Decomposition

Автор: Balk Bert M.
Название: Productivity: Concepts, Measurement, Aggregation, and Decomposition
ISBN: 3030754472 ISBN-13(EAN): 9783030754471
Издательство: Springer
Цена: 111790.00 T
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Описание: This book develops the theory of productivity measurement using the empirical index number approach. The final chapter is devoted to the decomposition of productivity change into the contributions of efficiency change, technological change, scale effects, and input or output mix effects.

Hyperbolic and kinetic models for self-organised biological aggregations

Автор: Eftimie, Raluca
Название: Hyperbolic and kinetic models for self-organised biological aggregations
ISBN: 3030025853 ISBN-13(EAN): 9783030025854
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book focuses on the spatio-temporal patterns generated by two classes of mathematical models (of hyperbolic and kinetic types) that have been increasingly used in the past several years to describe various biological and ecological communities. Here we combine an overview of various modelling approaches for collective behaviours displayed by individuals/cells/bacteria that interact locally and non-locally, with analytical and numerical mathematical techniques that can be used to investigate the spatio-temporal patterns produced by said individuals/cells/bacteria. Richly illustrated, the book offers a valuable guide for researchers new to the field, and is also suitable as a textbook for senior undergraduate or graduate students in mathematics or related disciplines.

Copula-Based Markov Models for Time Series: Parametric Inference and Process Control

Автор: Sun Li-Hsien, Huang Xin-Wei, Alqawba Mohammed S.
Название: Copula-Based Markov Models for Time Series: Parametric Inference and Process Control
ISBN: 9811549974 ISBN-13(EAN): 9789811549977
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series.


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