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North American Actuarial Journal Volume 24, 2020 - Issue 2: Predictive Analytics
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Feature Articles

Data Clustering with Actuarial Applications

Guojun GanDepartment of Mathematics, University of Connecticut, Storrs, ConnecticutCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-3285-7116
ORCID Icon &
Emiliano A. ValdezDepartment of Mathematics, University of Connecticut, Storrs, Connecticut
Pages 168-186 | Published online: 14 Jun 2019

Citations (15)

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Read on this site (5)

Liang Hong. (2023) Conformal Prediction Credibility Intervals. North American Actuarial Journal 27:4, pages 675-688.
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Shengkun Xie & Chong Gan. (2023) Classification of territory risk by generalized linear and generalized linear mixed models. Journal of Management Analytics 10:2, pages 223-246.
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Liang Hong & Ryan Martin. (2021) Valid Model-Free Prediction of Future Insurance Claims. North American Actuarial Journal 25:4, pages 473-483.
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Liqun Diao, Yechao Meng & Chengguo Weng. (2021) A DSA Algorithm for Mortality Forecasting. North American Actuarial Journal 25:3, pages 438-458.
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Guojun Gan & Emiliano A. Valdez. (2020) Valuation of Large Variable Annuity Portfolios with Rank Order Kriging. North American Actuarial Journal 24:1, pages 100-117.
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Articles from other publishers (10)

Ruihong Jiang, David Saunders & Chengguo Weng. (2023) Two-phase selection of representative contracts for valuation of large variable annuity portfolios. Insurance: Mathematics and Economics 113, pages 293-309.
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Hyukjun Gweon & Shu Li. (2023) A hybrid data mining framework for variable annuity portfolio valuation. ASTIN Bulletin, pages 1-16.
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Tribhuvan Singh, Shubhendu Shekhar Panda, Soumya Ranjan Mohanty & Anubhab Dwibedy. (2021) Opposition learning based Harris hawks optimizer for data clustering. Journal of Ambient Intelligence and Humanized Computing 14:7, pages 8347-8362.
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Shengkun Xie & Kun Shi. (2023) Generalised Additive Modelling of Auto Insurance Data with Territory Design: A Rate Regulation Perspective. Mathematics 11:2, pages 334.
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Jun Hu & Liang Hong. (2021) A nonparametric sequential learning procedure for estimating the pure premium. European Actuarial Journal 12:2, pages 485-502.
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Nicholas Bett, Juma Kasozi & Daniel Ruturwa. (2022) Temporal Clustering of the Causes of Death for Mortality Modelling. Risks 10:5, pages 99.
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Shuang Yin, Guojun Gan, Emiliano A. Valdez & Jeyaraj Vadiveloo. (2021) Applications of Clustering with Mixed Type Data in Life Insurance. Risks 9:3, pages 47.
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Jun Hu & Liang Hong. (2020) A Nonparametric Sequential Learning Procedure for Estimating the Pure Premium. SSRN Electronic Journal.
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Liqun Diao, Yechao Meng & Chengguo Weng. (2020) A DSA Algorithm for Mortality Forecasting. SSRN Electronic Journal.
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Liang Hong & Ryan Martin. (2019) Valid Model-Free Prediction of Future Insurance Claims. SSRN Electronic Journal.
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