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Causality Tests In Econometrics: Choice of Causal Variables, B. Sreenivasulu et al.


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Автор: B. Sreenivasulu et al.
Название:  Causality Tests In Econometrics: Choice of Causal Variables
Перевод названия: Тесты причинной связи в эконометрике: выбор причинных переменных
ISBN: 9783659504044
Издательство: LAP LAMBERT Academic Publishing
Классификация:
ISBN-10: 3659504041
Обложка/Формат: Paperback
Страницы: 76
Вес: 0.12 кг.
Дата издания: 03.01.2014
Язык: English
Иллюстрации: Black & white illustrations
Размер: 229 x 152 x 5
Читательская аудитория: General (us: trade)
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Описание: In the Present Book Chapter-I is an introductory one.Chapter-II describes the concept and causal relations by econometric models. It presents the different representations such as autoregressive, Moving – average and univariate representation of causality. Chapter-III explore lucidly the various tests for causality, we come across in econometrics. In regression analysis, researchers are interested in testing for the exogenity of variables this testing is closely related to the causality test proposed by Granger, which is explained in detail in this chapter. Chapter-IV gives the conclusions about the present study.The various relevant research articles have been presented under the title BIBLIOGRAPHY.


Causality

Автор: Pearl, Judea
Название: Causality
ISBN: 052189560X ISBN-13(EAN): 9780521895606
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, and cognitive science.

Causality: Statistical Perspectives and Applications

Автор: Berzuini C
Название: Causality: Statistical Perspectives and Applications
ISBN: 0470665564 ISBN-13(EAN): 9780470665565
Издательство: Wiley
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Цена: 10763.00 р.
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Описание: Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum.

Causality, Meaningful Complexity and Embodied Cognition

Автор: A. Carsetti
Название: Causality, Meaningful Complexity and Embodied Cognition
ISBN: 9400731701 ISBN-13(EAN): 9789400731707
Издательство: Springer
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Цена: 43184.00 р.
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Описание: With respect to the possible outlining of new models of the process of knowledge construction, we are really faced, at the moment, with the appearance of a new frontier. This title aims to recognize some of the peculiar knots of this particular conceptual revolution.

Causality, Correlation and Artificial Intelligence for Rational Decision Making

Автор: Marwala Tshilidzi
Название: Causality, Correlation and Artificial Intelligence for Rational Decision Making
ISBN: 9814630861 ISBN-13(EAN): 9789814630863
Издательство: World Scientific Publishing
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Цена: 13939.00 р.
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Описание:

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.

Friedrich Waismann - Causality and Logical Positivism

Автор: B.F. McGuinness
Название: Friedrich Waismann - Causality and Logical Positivism
ISBN: 9400736428 ISBN-13(EAN): 9789400736429
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This fresh assessment of Waismann`s contribution to philosophy sheds light on his independent contributions to the field, separate from his role as spokesman for Ludwig Wittgenstein. It collates a good deal of material that, previously, had been scattered.

Ontology, Causality, and Mind

Автор: Bacon
Название: Ontology, Causality, and Mind
ISBN: 052106841X ISBN-13(EAN): 9780521068413
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: This collection of essays, all especially written for this volume, explore the many facets of Armstrong`s work, concentrating on his interests.

Evidence, Decision and Causality

Автор: Ahmed
Название: Evidence, Decision and Causality
ISBN: 1316641546 ISBN-13(EAN): 9781316641545
Издательство: Cambridge Academ
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Цена: 5069.00 р.
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Описание: Aimed at philosophers and those with an interest in rational choice. Economic theory, quantum mechanics and voting all seem to illustrate a deep puzzle about the practical role of causality. This book advances the debate, introduces many new examples and assesses the practical relevance of the philosophical discussion.

Causality and Causal Modelling in the Social Sciences

Автор: Federica Russo
Название: Causality and Causal Modelling in the Social Sciences
ISBN: 9048179963 ISBN-13(EAN): 9789048179961
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This investigation into causal modelling presents the rationale of causality; i.e. what guides reasoning in causal modeling. In contrast to the dominant paradigm, it argues that causal models are governed by a variation, rather than regularity or invariance.


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