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
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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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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Publisher Correction: The development of an extended Weibull model with applications to medicine, industry and actuarial sciences. [PDF]
Sci RepImran M +6 more
europepmc +3 more sources
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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Modelling Customs Revenue in Ghana Using Novel Time Series Methods
Applied Computational Intelligence and Soft Computing, 2022 Governments across the world rely on their Customs Administration to provide functions that include border security, intellectual property rights protection, environmental protection, and revenue mobilisation amongst others.
Diana Ayorkor Agbenyega +3 more
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Analysis of Exchange Rates as Time-Inhomogeneous Markov Chain with Finite States
Journal of Applied Mathematics, 2022 Irrespective of whether the test for homogeneity is significant or not, most researchers assume time-homogeneity in analysing Markov chains due to scanty literature on the analysis of time-inhomogeneous Markov chains.
Felix O. Mettle +4 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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Volatility Analysis of Exchange Rate with Correlated Errors: A Sliding Data Matrix Approach
Journal of Applied Mathematics, 2022 The main objective of this study is to propose a method of analysing the volatility of a seemingly random walk time series with correlated errors without transforming the series as performed traditionally.
Felix Okoe Mettle +4 more
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