Machine Learning in Insurance
Machine Learning in Insurance
English[eng]
deposit insurance||implied volatility||static arbitrage||parameterization||machine learning||calibration||dichotomous response||predictive model||tree boosting||GLM||validation||generalised linear modelling||zero-inflated poisson model||telematics||benchmark||cross-validation||prediction||stock return volatility||long-term forecasts||overlapping returns||autocorrelation||chain ladder||Bornhuetter–Ferguson||maximum likelihood||exponential families||canonical parameters||prior knowledge||accelerated failure time model||chain-ladder method||local linear kernel estimation||non-life reserving||operational time||zero-inflation||overdispersion||automobile insurance||risk classification||risk selection||least-squares monte carlo method||proxy modeling||life insurance||Solvency II||claims prediction||export credit insurance||semiparametric modeling||VaR estimation||analyzing financial data||n/a
English[eng]
deposit insurance||implied volatility||static arbitrage||parameterization||machine learning||calibration||dichotomous response||predictive model||tree boosting||GLM||validation||generalised linear modelling||zero-inflated poisson model||telematics||benchmark||cross-validation||prediction||stock return volatility||long-term forecasts||overlapping returns||autocorrelation||chain ladder||Bornhuetter–Ferguson||maximum likelihood||exponential families||canonical parameters||prior knowledge||accelerated failure time model||chain-ladder method||local linear kernel estimation||non-life reserving||operational time||zero-inflation||overdispersion||automobile insurance||risk classification||risk selection||least-squares monte carlo method||proxy modeling||life insurance||Solvency II||claims prediction||export credit insurance||semiparametric modeling||VaR estimation||analyzing financial data||n/a