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Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models
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Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models (2016)Insurance Premium Prediction via Gradient…Non-Life Insurance Pricing with Generalized Linear Models (2010)Non-Life Insurance Pricing wi…On modeling claim frequency data in general insurance with extra zeros (2005)On modeling claim frequency d…Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling (2002)Fitting Tweedie's Compound Po…Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment (2001)Testing for Evidence of Adver…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Generalized Linear Models and Actuarial Science (1996)Generalized Linear Models and…The Effects of Household Characteristics on Demand for Insurance: A Tobit Analysis (1994)The Effects of Household Char…Modelling the Claims Process in the Presence of Covariates (1994)Modelling the Claims Process …Fitting Tweedie's compound poisson model to insurance claims data (1994)Fitting Tweedie's compound po…Health, economics, and health economics (1982)Health, economics, and health…Enhanced gradient boosting for zero-inflated insurance claims and comparative analysis of CatBoost , XGBoost , and LightGBM (2024)Enhanced gradient boosting fo…Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making (2023)Who Should I Trust: AI or Mys…Boosting Poisson regression models with telematics car driving data (2021)Boosting Poisson regression m…Tweedie gradient boosting for extremely unbalanced zero-inflated data (2020)Tweedie gradient boosting for…Machine Learning in P&C Insurance: A Review for Pricing and Reserving (2020)Machine Learning in P&C Insur…A Theory of the Consumption Function (1958)Limited-dependent and qualitative variables in econometrics (1983)Market Insurance, Self-Insurance, and Self-Protection (1992)An Examination of the Demand for Life Insurance (2003)The determinants of the demand for life insurance in an emerging economy – the case of China (2003)A Cross‐Section Analysis of the Determinants of Life Insurance Consumption in Mainland China, Hong Kong, and Taiwan (2005)Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information (1976)A model of insurance markets with incomplete information (1977)Testing for Asymmetric Information in Insurance Markets (2000)Moral Hazard and Dynamic Insurance Data (2003)Asymmetric Information and Learning: Evidence from the Automobile Insurance Market (2005)Beyond Testing: Empirical Models of Insurance Markets (2010)Stochastic Processes for Insurance & Finance (1999)Stochastic Processes for Insurance and Finance (1999)Stochastic Processes for Insurance and Finance (2001)Dependent frequency–severity modeling of insurance claims (2015)Nasa-task load index (NASA-TLX); 20 years later (2006)The Anchoring-and-Adjustment Heuristic (2006)Consumer credit-risk models via machine-learning algorithms (2010)“Are You Really Sure?” Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making (2024)Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students (2024)Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate (2024)Spatial modelling of claim frequency and claim size in non-life insurance (2007)A mixed copula model for insurance claims and claim sizes (2011)Generalized linear models for dependent frequency and severity of insurance claims (2016)Risk Classification for Claim Counts (2007)Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach (2013)The value of vehicle telematics data in insurance risk selection processes (2017)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The demand for prescription drugs as a function of cost-sharing (1985)The effects of hospital competition and the Medicare PPS program on hospital cost behavior in California (1988)Health insurance: The tradeoff between risk pooling and moral hazard (1996)Survival models in a dynamic context: a survey (2004)Gradient boosting trees for auto insurance loss cost modeling and prediction (2011)Scandinavian Actuarial Journal (2008)Of Disasters and Dragon Kings: A Statistical Analysis of Nuclear Power Incidents and Accidents (2016)The extreme risk of personal data breaches and the erosion of privacy (2016)
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1982Health, economics, and health economics313 cited
  • 2010Non-Life Insurance Pricing with Generalized Linear Models260 cited
  • 2001Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment245 cited
  • 2002Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling217 cited
  • 1996Generalized Linear Models and Actuarial Science206 cited
  • 1994Fitting Tweedie's compound poisson model to insurance claims data201 cited
  • 1994The Effects of Household Characteristics on Demand for Insurance: A Tobit Analysis184 cited
  • 2005On modeling claim frequency data in general insurance with extra zeros162 cited
  • 1994Modelling the Claims Process in the Presence of Covariates112 cited

Cited by

  • 2023Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making141 cited
  • 2020Machine Learning in P&C Insurance: A Review for Pricing and Reserving52 cited
  • 2021Boosting Poisson regression models with telematics car driving data48 cited
  • 2020Tweedie gradient boosting for extremely unbalanced zero-inflated data39 cited

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  • 2024Enhanced gradient boosting for zero-inflated insurance claims and comparative analysis of CatBoost , XGBoost , and LightGBM34 cited