Panibratov, R. S.Bidyuk, P. I.2023-08-142023-08-142023Panibratov, R. S. Estimation of the parameters of generalized linear models in the analysis of actuarial risks / R. S. Panibratov, P. I. Bidyuk // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2023. – № 2. – С. 139-148. – Бібліогр.: 11 назв.1681–6048https://ela.kpi.ua/handle/123456789/59183Abstract. Methods of estimating the parameters of generalized linear models for the case of paying insurance premiums to clients are considered. The iterative-recursive weighted least squares method, the Adam optimization algorithm, and the Monte Carlo method for Markov chains were implemented. Insurance indicators and the target variable were randomly generated due to the problem of public access to insurance data. For the latter, the normal and exponential law of distribution and the Pareto distribution with the corresponding link functions were used. Based on the quality metrics of model learning, conclusions were made regarding their construction quality.enactuarial riskgeneralized linear modelssimulation modelingexponential family of distributionsiterative-recursive weighted least squares methodAdam methodMonte Carlo method for Markov chainsактуарний ризикузагальнені лінійні моделіімітаційне моделюванняекспоненційна множина розподілівітеративно-рекруентно зважуваний метод найменших квадратівметод Adamметод Монте-Карло для марківських ланцюгівArticlePp. 139-148https://doi.org/10.20535/SRIT.2308-8893.2023.2.10004.8520000-0002-8604-44200000-0002-7421-3565