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Statistical Foundations of Actuarial Learning and its Applications
Udgivet af Springer International Publishing AG
ISBN
9783031124082
Om denne bog
- 1. Introduction. - 2. Exponential Dispersion Family. - 3. Estimation Theory. - 4. Predictive Modeling and Forecast Evaluation. - 5. Generalized Linear Models. - 6. Bayesian Methods, Regularization and Expectation-Maximization. - 7. Deep Learning. - 8. Recurrent Neural Networks. - 9. Convolutional Neural Networks. - 1…
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Bogdetaljer
Forfatter
Mario V. Wuthrich, Michael Merz
Forlag
Springer International Publishing AG
Kategori
Forsikring og aktuarstudier
ISBN-13
9783031124082
EAN
9783031124082
Format
Indbundet
Sprog
Engelsk
sider
605
Produktbeskrivelse
- 1. Introduction. - 2. Exponential Dispersion Family. - 3. Estimation Theory. - 4. Predictive Modeling and Forecast Evaluation. - 5. Generalized Linear Models. - 6. Bayesian Methods, Regularization and Expectation-Maximization. - 7. Deep Learning. - 8. Recurrent Neural Networks. - 9. Convolutional Neural Networks. - 10. Natural Language Processing. - 11. Selected Topics in Deep Learning. - 12. Appendix A: Technical Results on Networks. - 13. Appendix B: Data and Examples.
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