Results 1 to 10 of about 10,005 (233)
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
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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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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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Revista Electrónica Educare, 2014 This paper summarizes a study conducted in 2013 with the purpose of predicting the failure rate of math courses taken by Pharmacy, Mathematics, Actuarial Science, Physics and Meteorology students at Universidad de Costa Rica (UCR).
Luis Rojas-Torres
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Journal of Applied Mathematics, 2022 In this paper, we apply Markov chain techniques to select the best financial stocks listed on the Ghana Stock Exchange based on the mean recurrent times and steady-state distribution for investment and portfolio construction.
Gabriel Kallah-Dagadu +4 more
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