Results 1 to 10 of about 10,238 (163)

Big Data and Actuarial Science [PDF]

open access: yesBig Data and Cognitive Computing, 2020
This article investigates the impact of big data on the actuarial sector. The growing fields of applications of data analytics and data mining raise the ability for insurance companies to conduct more accurate policy pricing by incorporating a broader ...
Hossein Hassani   +2 more
doaj   +2 more sources

The concept of comonotonicity in actuarial science and finance: applications [PDF]

open access: yesInsurance: Mathematics and Economics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan Dhaene, M J Goovaerts, R Kaas
exaly   +5 more sources

The concept of comonotonicity in actuarial science and finance: theory

open access: yesInsurance: Mathematics and Economics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan Dhaene, M J Goovaerts, R Kaas
exaly   +6 more sources

Editorial for special issue on advances in Actuarial Science and quantitative finance. [PDF]

open access: yesMethodol Comput Appl Probab, 2022
Feng R   +3 more
europepmc   +2 more sources

Closed-form expressions to Gompertz-Makeham life expectancies: a historical note [PDF]

open access: yesRevista Brasileira de Estudos de População, 2022
Results well known in the actuarial community about closed-form expressions to Gompertz and Gompertz-Makeham life expectancies for a person aged x are still being independently rediscovered to this day.
Filipe Costa de Souza
doaj   +1 more source

Proposal for Mathematical and Parallel Computing Modeling as a Decision Support System for Actuarial Sciences

open access: yesAxioms, 2023
This paper aims to find the actuarial tables that best represent the occurrences of mortality and disability in the Brazilian Armed Forces, thus providing a better dimensioning of the costs of military pensions to be paid by the pension system.
Marcos dos Santos   +5 more
doaj   +1 more source

Alleviating Class Imbalance in Actuarial Applications Using Generative Adversarial Networks

open access: yesRisks, 2021
To build adequate predictive models, a substantial amount of data is desirable. However, when expanding to new or unexplored territories, this required level of information is rarely always available.
Kwanda Sydwell Ngwenduna, Rendani Mbuvha
doaj   +1 more source

A Proposal Based on Stochastic Differential Equations for Income [PDF]

open access: yesInternational Journal of Industrial Engineering and Production Research, 2023
Previous work has highlighted the need to apply stochastic modeling to understand the dynamics of phenomena occurring in the insurance industry. In this paper, for life insurance and applying a stochastic approach under efficient markets, we use survival
Luis Ceferino Franco-Arbeláez   +2 more
doaj  

Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting

open access: yesRisks, 2023
Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume
Carina Clemente   +2 more
doaj   +1 more source

Modeling Vehicle Insurance Loss Data Using a New Member of T-X Family of Distributions

open access: yesJournal of Statistical Theory and Applications (JSTA), 2020
In actuarial literature, we come across a diverse range of probability distributions for fitting insurance loss data. Popular distributions are lognormal, log-t, various versions of Pareto, log-logistic, Weibull, gamma and its variants and a generalized ...
Zubair Ahmad   +3 more
doaj   +1 more source

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