Isbn: 9780262054270 - causal modeling for finance and business: foundations, frameworks, and applications (10 Ergebnisse)

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  • Sprache: Englisch

    Verlag: The MIT Press, 2026

    0262054272 / 9780262054270

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    0262054272 / 9780262054270

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  • Sprache: Englisch

    Verlag: The MIT Press, 2026

    0262054272 / 9780262054270

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  • Sprache: Englisch

    Verlag: MIT, 2026

    0262054272 / 9780262054270

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  • Sprache: Englisch

    Verlag: The MIT Press Aug 2026, 2026

    0262054272 / 9780262054270

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    Taschenbuch. Zustand: Neu. Neuware - A comprehensive look at causality's theoretical and practical aspects in economics and finance.In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models.The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships.With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes.The book's objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.…

  • Sprache: Englisch

    Verlag: MIT Press, 2026

    0262054272 / 9780262054270

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    Zustand: New. Frank J. Fabozzi is Professor of Practice at Johns Hopkins Carey Business School. He is the author of Capital Markets, sixth edition Entrepreneurial Finance and Accounting for High-Tech Companies and Introduction to Fixed-Income Analysis .

  • Sprache: Englisch

    Verlag: The MIT Press Aug 2026, 2026

    0262054272 / 9780262054270

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    Taschenbuch. Zustand: Neu. Neuware -A comprehensive look at causality's theoretical and practical aspects in economics and finance.In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models.The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships.With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes.The book's objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 288 pp. Englisch.…

  • Sprache: Englisch

    Verlag: The MIT Press, 2026

    0262054272 / 9780262054270

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    Taschenbuch. Zustand: Neu. Causal Modeling for Finance and Business | Foundations, Frameworks, and Applications | Frank J. Fabozzi | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | The MIT Press | EAN 9780262054270 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: The MIT Press Aug 2026, 2026

    0262054272 / 9780262054270

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    Taschenbuch. Zustand: Neu. Neuware -A comprehensive look at causality's theoretical and practical aspects in economics and finance.In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models.The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships.With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes.The book's objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems. 288 pp. Englisch.…