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Closure Properties for Heavy-Tailed and Related Distributions : An Overview / / by Remigijus Leipus, Jonas Šiaulys, Dimitrios Konstantinides
Closure Properties for Heavy-Tailed and Related Distributions : An Overview / / by Remigijus Leipus, Jonas Šiaulys, Dimitrios Konstantinides
Autore Leipus Remigijus
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (99 pages)
Disciplina 519.24
Altri autori (Persone) SiaulysJonas
KonstantinidesDimitrios
Collana SpringerBriefs in Statistics
Soggetto topico Probabilities
Distribution (Probability theory)
Stochastic models
Actuarial science
Applied Probability
Distribution Theory
Probability Theory
Stochastic Modelling in Statistics
Actuarial Mathematics
Distribució (Teoria de la probabilitat)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-34553-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 An Overview of the Book -- 1.2 Notations and Definitions -- 2 Heavy-Tailed and Related Classes of Distributions -- 2.1 Heavy-Tailed Distributions -- 2.2 Regularly Varying Distributions -- 2.3 Consistently Varying Distributions -- 2.4 Dominatedly Varying Distributions -- 2.5 Long-Tailed Distributions -- 2.6 Exponential-Like-Tailed Distributions -- 2.7 Generalized Long-Tailed Distributions -- 2.8 Subexponential Distributions -- 2.9 Strong Subexponential Distributions -- 2.10 Convolution Equivalent Distributions -- 2.11 Generalized Subexponential Distributions -- 2.12 Bibliographical Notes -- 3 Closure Properties Under Tail-Equivalence, Convolution, Finite Mixing, Maximum, and Minimum -- 3.1 Ruin Probability in the Cramér-Lundberg Risk Model in the Case of Heavy-Tailed Claims -- 3.2 Convolution Closure and Max-Sum Equivalence -- 3.3 Closure Properties for Heavy-Tailed Class of Distributions -- 3.4 Closure Properties for Regularly Varying Class of Distributions -- 3.5 Closure Properties for Consistently Varying Class of Distributions -- 3.6 Closure Properties for Dominatedly Varying Class of Distributions -- 3.7 Closure Properties for Long-Tailed Class of Distributions -- 3.8 Closure Properties for Exponential-Like-Tailed Class of Distributions -- 3.9 Closure Properties for Generalized Long-Tailed Class of Distributions -- 3.10 Closure Properties for Subexponential Class of Distributions -- 3.11 Closure Properties for Strong Subexponential Class of Distributions -- 3.12 Closure Properties for Convolution Equivalent Class of Distributions -- 3.13 Closure Properties for Generalized Subexponential Class of Distributions -- 3.14 Bibliographical Notes -- 4 Convolution-Root Closure -- 4.1 Distribution Classes Closed Under Convolution Roots.
4.2 Distribution Classes Not Closed Under Convolution Roots -- 4.3 Bibliographical Notes -- 5 Product-Convolution of Heavy-Tailed and Related Distributions -- 5.1 Product-Convolution -- 5.2 From Light Tails to Heavy Tails Through Product-Convolution -- 5.3 Product-Convolution Closure Properties for Heavy-Tailed Class of Distributions -- 5.4 Product-Convolution Closure Properties for Regularly Varying Class of Distributions -- 5.5 Product-Convolution Closure Properties for Consistently Varying Class of Distributions -- 5.6 Product-Convolution Closure Properties for Dominatedly Varying Class of Distributions -- 5.7 Product-Convolution Closure Properties for Exponential-Like-Tailed Distributions -- 5.8 Product-Convolution Closure Properties for Generalized Long-Tailed Class of Distributions -- 5.9 Product-Convolution Closure Properties for Convolution Equivalent Class of Distributions -- 5.10 Product-Convolution Closure Properties for Generalized Subexponential Class of Distributions -- 5.11 Some Extensions -- 5.12 Bibliographical Notes -- 6 Summary of Closure Properties -- References -- Index.
Record Nr. UNINA-9910746099003321
Leipus Remigijus  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Autore Hainaut Donatien
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (359 pages)
Disciplina 332.015195
Collana Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics
Soggetto topico Probabilities
Social sciences - Mathematics
Econometrics
Actuarial science
Probability Theory
Mathematics in Business, Economics and Finance
Actuarial Mathematics
Quantitative Economics
Finances
Models matemàtics
Estadística matemàtica
Processos estocàstics
Anàlisi de sèries temporals
Soggetto genere / forma Llibres electrònics
ISBN 9783031063619
9783031063602
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgements -- Notations -- 1. Switching Models: Properties and Estimation -- 2. Estimation of Continuous Time Processes by Markov Chain Monte Carlo -- 3. Particle Filtering and Estimation -- 4. Modeling of Spillover Effects in Stock Markets -- 5. Non-Markov Models for Contagion and Spillover -- 6. Fractional Brownian Motion -- 7. Gaussian Fields for Asset Prices -- 8. Lévy Interest Rate Models With a Long Memory -- 9. Affine Volterra Processes and Rough Models -- 10. Sub-Diffusion for Illiquid Markets -- 11. A Fractional Dupire Equation for Jump-Diffusions -- References.
Record Nr. UNISA-996485661303316
Hainaut Donatien  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Autore Hainaut Donatien
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (359 pages)
Disciplina 332.015195
Collana Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics
Soggetto topico Probabilities
Social sciences - Mathematics
Econometrics
Actuarial science
Probability Theory
Mathematics in Business, Economics and Finance
Actuarial Mathematics
Quantitative Economics
Finances
Models matemàtics
Estadística matemàtica
Processos estocàstics
Anàlisi de sèries temporals
Soggetto genere / forma Llibres electrònics
ISBN 9783031063619
9783031063602
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgements -- Notations -- 1. Switching Models: Properties and Estimation -- 2. Estimation of Continuous Time Processes by Markov Chain Monte Carlo -- 3. Particle Filtering and Estimation -- 4. Modeling of Spillover Effects in Stock Markets -- 5. Non-Markov Models for Contagion and Spillover -- 6. Fractional Brownian Motion -- 7. Gaussian Fields for Asset Prices -- 8. Lévy Interest Rate Models With a Long Memory -- 9. Affine Volterra Processes and Rough Models -- 10. Sub-Diffusion for Illiquid Markets -- 11. A Fractional Dupire Equation for Jump-Diffusions -- References.
Record Nr. UNINA-9910590077503321
Hainaut Donatien  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
How to Build a Modern Tontine [[electronic resource] ] : Algorithms, Scripts and Tips / / by Moshe Arye Milevsky
How to Build a Modern Tontine [[electronic resource] ] : Algorithms, Scripts and Tips / / by Moshe Arye Milevsky
Autore Milevsky Moshe Arye
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (XXI, 156 p. 35 illus., 30 illus. in color.)
Disciplina 300.727
Collana Future of Business and Finance
Soggetto topico Statistics
Financial risk management
Actuarial science
Social sciences - Mathematics
Statistics in Business, Management, Economics, Finance, Insurance
Risk Management
Actuarial Mathematics
Mathematics in Business, Economics and Finance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Why Tontines? Why Now? -- 2. Financial & Actuarial Background -- 3. Building a Tontine Simulation in R -- 4. Statistical Risk Management -- 5. Death Benefits, Refunds & Covenants -- 6. Goodbye LogNormal Distribution -- 7. Squeezing the Most from Mortality -- 8. Managing a Competitive Tontine Business -- 9. Solutions & Advanced Hints -- 10. Concluding Remarks: Tontine Thinking.
Record Nr. UNINA-9910576868103321
Milevsky Moshe Arye  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Foundations of Actuarial Learning and its Applications [[electronic resource] /] / by Mario V. Wüthrich, Michael Merz
Statistical Foundations of Actuarial Learning and its Applications [[electronic resource] /] / by Mario V. Wüthrich, Michael Merz
Autore Wüthrich Mario V
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, : Springer Nature, 2023
Descrizione fisica 1 online resource (XII, 605 p. 1 illus.)
Disciplina 368.01
Collana Springer Actuarial
Soggetto topico Actuarial science
Statistics
Machine learning
Artificial intelligence—Data processing
Social sciences—Mathematics
Actuarial Mathematics
Statistics in Business, Management, Economics, Finance, Insurance
Machine Learning
Data Science
Mathematics in Business, Economics and Finance
Assegurances
Estadística
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Deep Learning
Actuarial Modeling
Pricing and Claims Reserving
Artificial Neural Networks
Regression Modeling
ISBN 3-031-12409-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910632470503321
Wüthrich Mario V  
Cham, : Springer Nature, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui