02201nam0 2200469 i 450 VAN012485520230630092756.389N978331999474120191025d2018 |0itac50 baengCH|||| |||||Micro to MACRO Mathematical Modelling in Soil MechanicsPasquale Giovine, Paolo Maria Mariano, Giuseppe Mortara editorsChamBirkhäuser2018xii, 418 p.ill.24 cm001VAN00590232001 Trends in mathematics210 BaselBirkhäuserVAN0236375Micro to MACRO Mathematical Modelling in Soil Mechanics156366070E20Perturbation methods for rigid body dynamics [MSC 2020]VANC019961MF70FxxDynamics of a system of particles, including celestial mechanichs [MSC 2020]VANC025451MF76T25Granular flows [MSC 2020]VANC025526MF74A60Micromechanical theories [MSC 2020]VANC028909MF74L10Soil and rock mechanics [MSC 2020]VANC035232MF74LxxSpecial subfields of solid mechanics [MSC 2020]VANC035391MFDiscrete element methodKW:KGranular MaterialKW:KMicro-to-macroKW:KModellingKW:KPorous materialsKW:KSoil mechanicsKW:KCHChamVANL001889GiovinePasqualeVANV052167MarianoPaolo MariaVANV052168MortaraGiuseppeVANV096282Birkhäuser <editore>VANV108193650ITSOL20230707RICAhttp://doi.org/10.1007/978-3-319-99474-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0124855BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 1253 08eMF1253 20191025 Micro to MACRO Mathematical Modelling in Soil Mechanics1563660UNICAMPANIA06217nam 22008053u 450 991050428420332120250628110040.03-030-78334-0(CKB)5340000000068536EBL6790721(OCoLC)1313887644(AU-PeEL)EBL6790721(MiAaPQ)EBC6790721(oapen)https://directory.doabooks.org/handle/20.500.12854/72814(PPN)258299983(ODN)ODN0010187475(oapen)doab72814(EXLCZ)99534000000006853620220617d2021|||| uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierPandemics insurance and social protection /editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule ŞahinCham Springer International Publishing AG20211 online resource (xx, 298 pages) illustrations (some color)Springer Actuarial Description based upon print version of record.3-030-78333-2 Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- 1 COVID-19: A Trigger for Innovations in Insurance? -- 1.1 Introduction -- 1.2 Discussions from the Perspective of Insurance and Social Protection -- 1.2.1 Commercial Insurance -- 1.2.2 The Role of the Governments and Social Protection -- 1.3 Listening to the Wind of Change -- References -- 2 Epidemic Compartmental Models and Their Insurance Applications -- 2.1 Introduction -- 2.2 Compartmental Models in Epidemiology -- 2.2.1 SIR Model -- 2.2.2 Other Compartmental Models -- 2.3 Epidemic Insurance2.3.1 Annuities and Insurance Benefits -- 2.3.2 Reserves -- 2.3.3 Further Extensions -- 2.3.4 Case Studies: COVID-19 -- 2.4 Resource Management -- 2.4.1 Pillar I: Regional and Aggregate Resources Demand Forecast -- 2.4.2 Pillar II: Centralised Stockpiling and Distribution -- 2.4.3 Pillar III: Centralised Resources Allocation -- 2.5 Conclusion -- References -- 3 Some Investigations with a Simple Actuarial Model for Infections Such as COVID-19 -- 3.1 Introduction -- 3.2 Multiple State Actuarial Models -- 3.3 A Simple Daily Model for Infection -- 3.4 Comparisons with the SIR Model3.5 Enhancements for COVID-19 and Initial Assumptions -- 3.6 Estimating Parameters Model 1 -- 3.7 Estimating Parameters Model 2 -- 3.8 Comments on Results of Models 1 and 2 -- 3.9 Further Extensions: Models 3 and 4 -- 3.10 Comments on Results of Models 3 and 4 -- 3.11 Projection Models -- 3.12 Problems and Unknowns -- 3.13 Other Countries -- 3.14 Conclusions -- References -- 4 Stochastic Mortality Models and Pandemic Shocks -- 4.1 Stochastic Mortality Models and the COVID-19 Shock -- 4.2 The Impact of COVID-19 on Mortality Rates4.3 Stochastic Mortality Models and Pandemics: Single-Population Models -- 4.3.1 Discrete-Time Single Population Models -- 4.3.2 Continuous-Time Single-Population Models -- 4.4 Stochastic Mortality Models and Pandemics: Multi-population -- 4.4.1 Discrete-Time Models -- 4.4.2 Continuous-Time Models -- 4.5 A Continuous-Time Multi-population Model with Jumps -- 4.6 Conclusions -- References -- 5 A Mortality Model for Pandemics and Other Contagion Events -- 5.1 Introduction -- 5.2 Highlights of Methodology and Findings -- 5.2.1 Summary of Methodology -- 5.2.2 Summary of Findings5.3 Semiparametric Regression in MCMC -- 5.3.1 MCMC Parameter Shrinkage -- 5.3.2 Spline Regressions -- 5.3.3 Why Shrinkage? -- 5.3.4 Cross Validation in MCMC -- 5.4 Model Details -- 5.4.1 Formulas -- 5.4.2 Fitting Process -- 5.5 Results -- 5.5.1 Extensions: Generalisation, Projections and R Coding -- 5.6 Conclusions -- References -- 6 Risk-Sharing and Contingent Premia in the Presence of Systematic Risk: The Case Study of the UK COVID-19 Economic Losses -- 6.1 Introduction -- 6.2 Risk Levels and Systematic Risk in Insurance -- 6.3 Mathematical Setup -- 6.3.1 Probability Space6.3.2 Insurance PreliminariesThis open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic. Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing in the presence of low probability events, group testing, compositional data analysis for detecting data inconsistencies, behaviouristic aspects in fighting a pandemic, and insurers' legal problems, amongst others. Concluding with an essay by a practicing actuary on the applicability of the methods proposed, this interdisciplinary book is aimed at actuaries as well as readers with a background in mathematics, economics, statistics, finance, epidemiology, or sociology.Springer Actuarial PandemicsEpidemicsInsuranceMathematical modelsInsuranceStatistical methodsSocial securityAssegurancesthubModels matemàticsthubEstadística matemàticathubSeguretat socialthubEpidèmiesthubLlibres electrònicsthubEpidemics.InsuranceMathematical models.InsuranceStatistical methods.Social security.Assegurances.Models matemàticsEstadística matemàtica.Seguretat socialEpidèmies.EDU000000LAW014000MAT003000MAT029000bisacshBoado-Penas María del Carmenedt1235584Boado-Penas María del Carmen1235584Eisenberg Julia1235585Şahin‬‬‬ Şule1235586AU-PeELAU-PeELAU-PeELBOOK9910504284203321Pandemics2869611UNINA