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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 electronic resource (260 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
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 |
| 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 electronic resource (372 p.) |
| Soggetto topico | Humanities |
| Soggetto non controllato |
time series
anomaly detection unsupervised learning kernel density estimation missing data multivariate time series nonstationary spectral matrix local field potential electric power forecasting accuracy machine learning extended binomial distribution INAR thinning operator time series of counts unemployment rate SARIMA SETAR Holt–Winters ETS neural network autoregression Romania integer-valued time series bivariate Poisson INGARCH model outliers robust estimation minimum density power divergence estimator CUSUM control chart INAR-type time series statistical process monitoring random survival rate zero-inflation cointegration subspace algorithms VARMA models seasonality finance volatility fluctuation Student’s t-process entropy based particle filter relative entropy count data time series analysis Julia programming language ordinal patterns long-range dependence multivariate data analysis limit theorems integer-valued moving average model counting series dispersion test Bell distribution count time series estimation overdispersion multivariate count data INGACRCH state-space model bank failures transactions periodic autoregression integer-valued threshold models parameter estimation models |
| 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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