| LDR | | | 00000cab a22000004b 4500 |
| 001 | | | MAP20260053066 |
| 003 | | | MAP |
| 005 | | | 20261104144445.0 |
| 008 | | | 201001e20260901usa|||p |0|||b|eng d |
| 040 | | | $aMAP$bspa$dMAP |
| 084 | | | $a322 |
| 100 | 1 | | $0MAPA20080027780$aKelly, Mary |
| 245 | 1 | 2 | $aPoisson mixture deep learning neural network models for the prediction of drivers' claims with excessive zero claims using telematics data $cFarha Usman ... [et al.] |
| 520 | | | $aThis article develops Poisson Mixture Deep Learning Neural Network models to improve the prediction of automobile insurance claim frequency using telematics data. The study addresses the challenge of an excessive proportion of policyholders with zero claims through advanced machine learning techniques, driver risk classification, and predictive model optimization. The results demonstrate improvements in driver segmentation and in personalized insurance pricing based on driving behavior and usage. |
| 650 | | 4 | $0MAPA20080567118$aReclamaciones |
| 650 | | 4 | $0MAPA20080586294$aMercado de seguros |
| 650 | | 4 | $0MAPA20080603779$aSeguro de automóviles |
| 650 | | 4 | $0MAPA20080556495$aSiniestros |
| 650 | | 4 | $0MAPA20140022717$aBig data |
| 650 | | 4 | $0MAPA20080611200$aInteligencia artificial |
| 650 | | 4 | $0MAPA20080592059$aModelos predictivos |
| 650 | | 4 | $0MAPA20080581886$aPrimas de seguros |
| 651 | | 1 | $0MAPA20080638337$aEstados Unidos |
| 700 | | | $0MAPA20110013431$aChan, Jennifer S.K. |
| 700 | 1 | | $0MAPA20260033396$aDong, Alice X. D. |
| 700 | 1 | | $0MAPA20110013424$aMakov, Udi E. |
| 773 | 0 | | $wMAP20077000239$g21/09/2026 Volume 30 Number 3 - 2026 , 22 p.$x1092-0277$tNorth American actuarial journal$dSchaumburg : Society of Actuaries, 1997- |
