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Actuarial principles : lifetables and mortality models /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Leung, Andrew (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2022]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Leung, Andrew,  |e author. 
245 1 0 |a Actuarial principles :  |b lifetables and mortality models /  |c Andrew Leung. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press, an imprint of Elsevier,  |c [2022] 
300 |a 1 online resource :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a 1. Introduction to Deep Learning and Financial Modeling -- 2. Deep Learning and Addressing the Class Imbalance Problem -- 3. Predicting Interest Rates and Spreads Using Deep Learning -- 4. Predicting Stock Market prices using Deep Learning -- 5. Predicting Inflation Rates using Deep Learning -- 6. Analyzing the GDP using Deep Learning -- 7. Predicting Exchange Rates using Deep Learning -- 8. Asset Allocation Optimization Using Deep Learning -- 9. Deep Learning, Credit Scoring and Underwriting -- 10. Deep Learning and Fraud Detection -- 11. Deep Learning and Sentiment/News Analysis -- 12. Banking and Insurance Solvency Capital Calculation Using Deep Learning -- 13. Insurance Pricing Using Deep Learning -- 14. Conclusion. 
504 |a Includes bibliographical references and index. 
588 |a Description based on online resource; title from digital title page (viewed on March 22, 2023). 
650 0 |a Actuaries. 
650 0 |a Mortality  |v Tables. 
650 2 |a Life Tables  |0 (DNLM)D015993 
650 6 |a Actuaires.  |0 (CaQQLa)201-0074056 
650 6 |a Mortalit�e  |v Tables.  |0 (CaQQLa)201-0093388 
650 7 |a actuaries.  |2 aat  |0 (CStmoGRI)aat300024983 
650 7 |a Actuaries  |2 fast  |0 (OCoLC)fst00796339 
650 7 |a Mortality  |2 fast  |0 (OCoLC)fst01026502 
655 7 |a Tables  |2 fast  |0 (OCoLC)fst01423914 
776 0 8 |i Print version :  |z 9780323901727 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323901727  |z Texto completo