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Effective Statistical Learning Methods for Actuaries I [[electronic resource] ] : GLMs and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin
| Effective Statistical Learning Methods for Actuaries I [[electronic resource] ] : GLMs and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit Michel |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 441 p. 82 illus., 23 illus. in color.) |
| Disciplina | 368.01 |
| Collana | Springer Actuarial Lecture Notes |
| Soggetto topico |
Actuarial science
Statistics Actuarial Sciences Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 3-030-25820-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part I: LOSS MODELS.-1. Insurance Risk Classification.-Exponential Dispersion (ED) Distributions.-3.-Maximum Likelihood Estimation.-Part II LINEAR MODELS.-4. Generalized Linear Models (GLMs) -- 5.-Over-dispersion, credibility adjustments, mixed models, and regularization.-Part III ADDITIVE MODELS -- 6 Generalized Additive Models (GAMs) -- 7. Beyond Mean Modeling: Double GLMs and GAMs for Location, Scale and Shape (GAMLSS) -- Part IV SPECIAL TOPICS -- 8. Some Generalized Non-Linear Models (GNMs) -- 9 Extreme Value Models -- References. |
| Record Nr. | UNINA-9910349321203321 |
Denuit Michel
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Effective Statistical Learning Methods for Actuaries III [[electronic resource] ] : Neural Networks and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin
| Effective Statistical Learning Methods for Actuaries III [[electronic resource] ] : Neural Networks and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit Michel |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (258 pages) : illustrations |
| Disciplina | 368.01 |
| Collana | Springer Actuarial Lecture Notes |
| Soggetto topico |
Actuarial science
Statistics Neural networks (Computer science) Actuarial Sciences Statistics for Business, Management, Economics, Finance, Insurance Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-030-25827-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface. - Feed-forward Neural Networks. - Byesian Neural Networks and GLM. - Deep Neural Networks -- Dimension-Reduction with Forward Neural Nets Applied to Mortality. - Self-organizing Maps and k-means clusterin in non Life Insurance. - Ensemble of Neural Networks -- Gradient Boosting with Neural Networks. - Time Series Modelling with Neural Networks -- References. |
| Record Nr. | UNINA-9910349316603321 |
|
Denuit Michel
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Effective Statistical Learning Methods for Actuaries III [[electronic resource] ] : Neural Networks and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin
| Effective Statistical Learning Methods for Actuaries III [[electronic resource] ] : Neural Networks and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit Michel |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (258 pages) : illustrations |
| Disciplina | 368.01 |
| Collana | Springer Actuarial Lecture Notes |
| Soggetto topico |
Actuarial science
Statistics Neural networks (Computer science) Actuarial Sciences Statistics for Business, Management, Economics, Finance, Insurance Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-030-25827-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface. - Feed-forward Neural Networks. - Byesian Neural Networks and GLM. - Deep Neural Networks -- Dimension-Reduction with Forward Neural Nets Applied to Mortality. - Self-organizing Maps and k-means clusterin in non Life Insurance. - Ensemble of Neural Networks -- Gradient Boosting with Neural Networks. - Time Series Modelling with Neural Networks -- References. |
| Record Nr. | UNISA-996416847203316 |
|
Denuit Michel
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Effective statistical learning methods for actuatries . II Tree-based methods and extensions / / Michel Denuit, Donatien Hainaut, Julien Trufin
| Effective statistical learning methods for actuatries . II Tree-based methods and extensions / / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit Michel |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 228 p. 68 illus., 6 illus. in color.) |
| Disciplina | 519.536 |
| Collana | Springer Actuarial Lecture Notes |
| Soggetto topico |
Regression analysis
Actuarial science |
| ISBN | 3-030-57556-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introductio -- Chapter 2 : Performance Evaluation -- Chapter 3 Regression Trees -- Chapter 4 Bagging Trees and Random Forests -- Chapter 5 Boosting Trees -- Chapter 6 Other Measures for Model Comparison. |
| Record Nr. | UNINA-9910484306203321 |
|
Denuit Michel
|
||
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Effective statistical learning methods for actuatries . II Tree-based methods and extensions / / Michel Denuit, Donatien Hainaut, Julien Trufin
| Effective statistical learning methods for actuatries . II Tree-based methods and extensions / / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit Michel |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 228 p. 68 illus., 6 illus. in color.) |
| Disciplina | 519.536 |
| Collana | Springer Actuarial Lecture Notes |
| Soggetto topico |
Regression analysis
Actuarial science |
| ISBN | 3-030-57556-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introductio -- Chapter 2 : Performance Evaluation -- Chapter 3 Regression Trees -- Chapter 4 Bagging Trees and Random Forests -- Chapter 5 Boosting Trees -- Chapter 6 Other Measures for Model Comparison. |
| Record Nr. | UNISA-996418182603316 |
|
Denuit Michel
|
||
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||