An edition of Detecting Regime Change in Computational Finance (2020)

Detecting Regime Change in Computational Finance

Data Science, Machine Learning and Algorithmic Trading

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Detecting Regime Change in Computational Fina ...
Jun Chen, Edward P. K. Tsang, ...
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Last edited by ImportBot
August 26, 2020 | History
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An edition of Detecting Regime Change in Computational Finance (2020)

Detecting Regime Change in Computational Finance

Data Science, Machine Learning and Algorithmic Trading

by and

  • 1 Want to read

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Publish Date
Publisher
Taylor & Francis Group
Language
English
Pages
144

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Subjects

Financial engineering Methodology Finance Mathematical models Stocks Prices Hidden Markov models Expectation-maximization algorithms Ingénierie financière Méthodologie Finances Modèles mathématiques Actions (Titres de société) Prix Modèles de Markov cachés Algorithmes EM MATHEMATICS / Arithmetic COMPUTERS / Machine Theory
Edition Availability
Cover of: Detecting Regime Change in Computational Finance
Detecting Regime Change in Computational Finance
2022, Taylor & Francis Group
in English
Cover of: Detecting Regime Change in Computational Finance
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
2020, Taylor & Francis Group
in English
Cover of: Detecting Regime Change in Computational Finance
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
2020, Taylor & Francis Group
in English
Cover of: Detecting Regime Change in Computational Finance
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
2020, Taylor & Francis Group
in English
Cover of: Detecting Regime Change in Computational Finance
Detecting Regime Change in Computational Finance
2020, Taylor & Francis Group
in English
Cover of: Detecting Regime Change in Computational Finance
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
2020, Taylor & Francis Group
in English

Add another edition?

Book Details

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Library of Congress

Edition Identifiers

Open Library
OL29531394M
ISBN 13
9781000220261

Work Identifiers

Work ID
OL21703346W

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