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Statistical Foundations Actuarial Learning by Wüthrich Mario (32 results)
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Statistical Foundations of Actuarial Learning and its Applications (Springer Actuarial)
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Statistical Foundations of Actuarial Learning and Its Applications
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Statistical Foundations of Actuarial Learning and its Applications (Springer Actuarial)
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Statistical Foundations of Actuarial Learning and Its Applications
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Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Language: English
£ 30.85
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Add to basketPaperback. Condition: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
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Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031124081 ISBN 13: 9783031124082
Language: English
£ 35.49
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Add to basketHardback. Condition: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
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Statistical Foundations of Actuarial Learning and its Applications
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Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
£ 36.41
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Add to basketPaperback. Condition: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
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Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Language: English
£ 62.55
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketPaperback. Condition: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
-
Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031124081 ISBN 13: 9783031124082
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
£ 41.70
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Add to basketHardback. Condition: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
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Paperback. Condition: Brand New. 617 pages. 9.25x6.10x1.22 inches. In Stock.
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Hardcover. Condition: Brand New. 617 pages. 9.25x6.10x1.61 inches. In Stock.
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Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Language: English
£ 63.71
Convert currency£ 85.87 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketPaperback. Condition: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
-
Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Language: English
£ 35.35
Convert currency£ 21.66 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited accessUniquely combines classical statistical modeling with modern machine learning methodsDiscusses the state-of-the-art in predictive modeling for actuarial work.
-
Statistical Foundations of Actuarial Learning and its Applications
Published by Springer International Publishing, 2022
ISBN 10: 3031124081 ISBN 13: 9783031124082
Language: English
£ 43.18
Convert currency£ 21.66 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited accessUniquely combines classical statistical modeling with modern machine learning methodsDiscusses the state-of-the-art in predictive modeling for actuarial work.
