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Machine Learning in Insurance
| Machine Learning in Insurance |
| Autore | Nielsen Jens Perch |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (260 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
accelerated failure time model
analyzing financial data autocorrelation automobile insurance benchmark Bornhuetter-Ferguson calibration canonical parameters chain ladder chain-ladder method claims prediction cross-validation deposit insurance dichotomous response exponential families export credit insurance generalised linear modelling GLM implied volatility least-squares monte carlo method life insurance local linear kernel estimation long-term forecasts machine learning maximum likelihood n/a non-life reserving operational time overdispersion overlapping returns parameterization prediction predictive model prior knowledge proxy modeling risk classification risk selection semiparametric modeling Solvency II static arbitrage stock return volatility telematics tree boosting validation VaR estimation zero-inflated poisson model zero-inflation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557660803321 |
Nielsen Jens Perch
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Time Series Modelling
| Time Series Modelling |
| Autore | Weiss Christian H |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (372 p.) |
| Soggetto topico | Humanities |
| Soggetto non controllato |
anomaly detection
bank failures Bell distribution bivariate Poisson INGARCH model cointegration count data count time series counting series CUSUM control chart dispersion test electric power entropy based particle filter estimation ETS extended binomial distribution finance forecasting accuracy Holt-Winters INAR INAR-type time series INGACRCH integer-valued moving average model integer-valued threshold models integer-valued time series Julia programming language kernel density estimation limit theorems local field potential long-range dependence machine learning minimum density power divergence estimator missing data models multivariate count data multivariate data analysis multivariate time series neural network autoregression nonstationary ordinal patterns outliers overdispersion parameter estimation periodic autoregression random survival rate relative entropy robust estimation Romania SARIMA seasonality SETAR spectral matrix state-space model statistical process monitoring Student's t-process subspace algorithms thinning operator time series time series analysis time series of counts transactions unemployment rate unsupervised learning VARMA models volatility fluctuation zero-inflation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557541003321 |
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Weiss Christian H
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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