000			01255nam a2200121Ia 4500
008			220620s9999||||xx |||||||||||||| ||und||
245		0	_aMachine Learning in Insurance
546			_aEnglish[eng]
650			_adeposit 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
700			_aNielsen, Jens Perch||Asimit, Alexandru||Kyriakou, Ioannis
856			_uhttps://mdpi.com/books/pdfview/book/2507
942			_cEB
999			_c22641 _d22641