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Gradient boosting trees for auto insurance loss cost modeling and prediction · Study

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ArticleGradient boosting trees for auto insurance loss cost modeling and prediction

Leo Guelman2011

Article2011

Gradient boosting trees for auto insurance loss cost modeling and prediction

247 citations·0/0 files stored·Expert Systems with Applications

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Insurance and Financial Risk Management Statistical Methods and Inference Probability and Risk Models

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References

1973The Strength of Weak Ties 1985CHAPMAN AND HALL 2001Explaining Rare Events in International Relations 2006Bagging and Boosting Classification Trees to Predict Churn 1996Generalized Linear Models and Actuarial Science

Cited by

2023Deep learning in insurance: Accuracy and model interpretability using TabNet 2019Automobile insurance classification ratemaking based on telematics driving data 2020Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods 2022Gradient tree boosting and the estimation of production frontiers 2021Forecasting monthly copper price: A comparative study of various machine learning-based methods 2020Machine Learning in P&C Insurance: A Review for Pricing and Reserving 2020Forecasting third-party mobile payments with implications for customer flow prediction 2017Improving Financial Distress Prediction Using Financial Network-Based Information and GA-Based Gradient Boosting Method

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Details

Year2011

Typearticle

Published2011-09-16

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations247

Files0 public / 0

ShelfInsurance and Financial Risk Management

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doi10.1016/j.eswa.2011.09.058

openalex_workW2012290523

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