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Bias regularization in neural network models for general insurance pricing
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Bias regularization in neural network models for general insurance pricing (2019)Bias regularization in neural network mod…Data Analytics for Non-Life Insurance Pricing (2017)Data Analytics for Non-Life I…Non-Life Insurance Pricing with Generalized Linear Models (2010)Non-Life Insurance Pricing wi…Actuarial Modelling of Claim Counts (2007)Actuarial Modelling of Claim …An Economic Premium Principle (1980)An Economic Premium PrincipleOn the probability function in the collective theory of risk (1932)On the probability function i…Recent Challenges in Actuarial Science (2021)Recent Challenges in Actuaria…Mind the Gap - Safely Incorporating Deep Learning Models into the Actuarial Toolkit (2021)Mind the Gap - Safely Incorpo…Autocalibration and Tweedie-dominance for insurance pricing with machine learning (2021)Autocalibration and Tweedie-d…Machine Learning in P&C Insurance: A Review for Pricing and Reserving (2020)Machine Learning in P&C Insur…Non-Life Insurance: Mathematics & Statistics (2013)Non-Life Insurance: Mathemati…Dynamic Asset Pricing Theory. (1993)Coherent Measures of Risk (1999)Quantitative Risk Management: Concepts, Techniques, and Tools (2006)Understanding Reporting Delay in General Insurance (2016)Generalized Linear Models (2022)Gradient boosting trees for auto insurance loss cost modeling and prediction (2011)Predictive Modeling Applications in Actuarial Science (2014)Personalization as a promise: Can Big Data change the practice of insurance? (2020)Transformation of insurance technologies in the context of a pandemic (2021)17. A Value for n-Person Games (1953)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Claims Frequency Modeling Using Telematics Car Driving Data (2018)DeepTriangle: A Deep Learning Approach to Loss Reserving (2019)Elicitation of Personal Probabilities and Expectations (1971)Actuarial Theory for Dependent Risks: Measures, Orders and Models (2005)Making and Evaluating Point Forecasts (2011)Time Series Analysis: Forecasting and Control (1977)Modelling Extremal Events (1997)Value At Risk: The New Benchmark for Managing Financial Risk (2000)Hotelling T2 Control Chart for Detecting Changes in Mortality Models Based on Machine-Learning Decision Tree (2023)Modeling and Forecasting U. S. Mortality (1992)The M4 Competition: Results, findings, conclusion and way forward (2018)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)Leveraging deep neural networks to estimate age-specific mortality from life expectancy at birth (2022)Accurate and explainable mortality forecasting with the LocalGLMnet (2024)Pricing contingent claims on stocks driven by Lévy processes (1999)The Generalized Hyperbolic Model: Estimation, Financial Derivatives, and Risk Measures (1999)The cumulant process and Esscher's change of measure (2002)On convex principles of premium calculation (1985)A Universal Framework for Pricing Financial and Insurance Risks (2002)Insurance Risk and Ruin (2005)Number of Accidents or Number of Claims? An Approach with Zero‐Inflated Poisson Models for Panel Data (2009)Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data (2018)Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods (2020)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

  • 1932On the probability function in the collective theory of risk376 cited
  • 1980An Economic Premium Principle332 cited
  • 2010Non-Life Insurance Pricing with Generalized Linear Models260 cited
  • 2007Actuarial Modelling of Claim Counts200 cited
  • 2017Data Analytics for Non-Life Insurance Pricing79 cited

Cited by

  • 2020Machine Learning in P&C Insurance: A Review for Pricing and Reserving52 cited
  • 2021Autocalibration and Tweedie-dominance for insurance pricing with machine learning48 cited
  • 2021Recent Challenges in Actuarial Science41 cited
  • 2013Non-Life Insurance: Mathematics & Statistics36 cited
  • 2021Mind the Gap - Safely Incorporating Deep Learning Models into the Actuarial Toolkit23 cited

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