9781032586076 - rescuing econometrics: from the probability approach to probably approximately correct learning (routledge inem advances in economic methodology) de qin, duo (20 resultados)
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Paperback. Condición: New. Haavelmo's 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmo's probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a f…ull embrace of machine learning, with its attendant benefits.Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmo's probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences.
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Editorial: Taylor and Francis, 2025
Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Paperback. Condición: Brand New. 112 pages. 9.18x6.12x9.21 inches. In Stock.
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Condición: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Paperback. Condición: New. Haavelmo's 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmo's probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a f…ull embrace of machine learning, with its attendant benefits.Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmo's probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences.
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Editorial: Taylor & Francis Ltd, London, 2025
Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Paperback. Condición: new. Paperback. Haavelmos 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmos probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics to…wards a full embrace of machine learning, with its attendant benefits.Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmos probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences. Haavelmos The Probability Approach in Econometrics is acclaimed as the manifesto of econometrics. This book challenges Haavelmos probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a full embrace of machine learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Editorial: Routledge, 2025
Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Paperback. Condición: new. Paperback. Haavelmos 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmos probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics to…wards a full embrace of machine learning, with its attendant benefits.Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmos probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences. Haavelmos The Probability Approach in Econometrics is acclaimed as the manifesto of econometrics. This book challenges Haavelmos probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a full embrace of machine learning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, London, 2025
Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Paperback. Condición: new. Paperback. Haavelmos 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmos probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics to…wards a full embrace of machine learning, with its attendant benefits.Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmos probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences. Haavelmos The Probability Approach in Econometrics is acclaimed as the manifesto of econometrics. This book challenges Haavelmos probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a full embrace of machine learning. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Routledge, 2025
Serie: Routledge INEM Advances in Economic Methodology, Libro 25 de 27. Libro 25 de 27 - Routledge INEM Advances in Economic Methodology
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 87,79
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Haavelmo's The Probability Approach in Econometrics is acclaimed as the manifesto of econometrics. This book challenges Haavelmo's probability approach, shows how its use is delivering defective and inefficient results, and argues for a…paradigm shift in econometrics towards a full embrace of machine learning.
