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Big Data and Actuarial Science [PDF]
Big 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
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Closed-form expressions to Gompertz-Makeham life expectancies: a historical note [PDF]
Revista 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
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Axioms, 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
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Alleviating Class Imbalance in Actuarial Applications Using Generative Adversarial Networks
Risks, 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
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A Proposal Based on Stochastic Differential Equations for Income [PDF]
International 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
Risks, 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
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Modeling Vehicle Insurance Loss Data Using a New Member of T-X Family of Distributions
Journal 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
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Brave New Risks: Tracing the evolution of actuarial research from the Accounting & Finance Review to the frontiers of Actuarial Science [PDF]
Revista Contabilidade & FinançasThis article aimed to examine the thematic evolution and methodological trajectory of research on Actuarial Science in the Accounting & Finance Review (A&FR), to assess its main intellectual contributions, and to shed light on promising avenues for ...
João Vinícius de França Carvalho
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Machine Learning in P&C Insurance: A Review for Pricing and Reserving
Risks, 2020 In the past 25 years, computer scientists and statisticians developed machine learning algorithms capable of modeling highly nonlinear transformations and interactions of input features.
Christopher Blier-Wong +3 more
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The prediction of future behavior: The empty promises of expert clinical and actuarial testimony [PDF]
, 2016 Testimony about the future dangerousness of a person has become a central staple of many judicial processes. In settings such as bail, sentencing, and parole decisions, in rulings about the civil confinement of the mentally ill, and ...
Páez, Andrés
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