Stochastic gradient boosting frequency-severity model of insurance claims.
PLoS ONE, 2020 The standard GLM and GAM frequency-severity models assume independence between the claim frequency and severity. To overcome restrictions of linear or additive forms and to relax the independence assumption, we develop a data-driven dependent frequency ...
Xiaoshan Su, Manying Bai
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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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Disparities in cancer care and outcomes by insurance membership type in Indonesia: a retrospective cross-sectional analysis of national health insurance claims, 2017–2022 [PDF]
BMJ OpenObjectives To examine disparities in health services and outcomes for cancer among different membership types within the national health insurance in Indonesia.Design and setting This study employed a retrospective cross-sectional analysis of health ...
Dian Kusuma +3 more
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MANAGING HEART RELATED DISEASE RISKS IN BPJS KESEHATAN USING COLLECTIVE RISK MODELS
Media Statistika, 2023 BPJS Kesehatan is a legal entity established to administer the health service program using the insurance system. Heart related diseases is a disease with the largest coverage cost in Indonesia.
Gede Ary Prabha Yogesswara +2 more
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Bonus-Malus Premiums Based on Claim Frequency and the Size of Claims
Risks, 2022 The bonus-malus system (BMS) is one of the most widely used tools in merit-rating automobile insurance, with the primary goal of ensuring that fair premiums are paid by all policyholders. The traditional BMS is dependent only on the claim frequency. Thus,
Adisak Moumeesri, Tippatai Pongsart
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Claim Modeling and Insurance Premium Pricing Under A Bonus–Malus System in Motor Insurance
International Journal of Applied Mathematics and Computer Science, 2023 Accurately modeling claims data and determining appropriate insurance premiums are vital responsibilities for non-life insurance firms. This article presents novel models for claims that offer improved precision in fitting claim data, both in terms of ...
Ieosanurak Weenakorn +2 more
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PHASE-TYPE DISTRIBUTIONS FOR CLAIM SEVERITY REGRESSION MODELING [PDF]
ASTIN Bulletin, 2022 AbstractThis paper addresses the task of modeling severity losses using segmentation when the data distribution does not fall into the usual regression frameworks. This situation is not uncommon in lines of business such as third-party liability insurance, where heavy-tails and multimodality often hamper a direct statistical analysis. We propose to use
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COVID-19 severity scale for claims data research
BMC Health Services Research, 2023 Abstract Objective To create and validate a methodology to assign a severity level to an episode of COVID-19 for retrospective analysis in claims data. Data Source Secondary data obtained by license agreement from Optum provided claims records nationally for 19,761,754 ...
Krause, Trudy Millard +5 more
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A Simple Estimation of Parameters for Discrete Distributions from the Schröter Family [PDF]
Statistika: Statistics and Economy Journal, 2023 One of the common challenges in actuarial mathematics is finding a model for the number of claims and claim severity. We focus on one of the suggested models, namely, on the Schröter family of discrete probability distributions. Furthermore, we introduce
Friday I. Agu +2 more
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Assessing the Performance of Random Forests for Modeling Claim Severity in Collision Car Insurance
Risks, 2021 For calculating non-life insurance premiums, actuaries traditionally rely on separate severity and frequency models using covariates to explain the claims loss exposure. In this paper, we focus on the claim severity. First, we build two reference models,
Yves Staudt, Joël Wagner
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