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2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Insurance risk classification Machine learning Supervised learning Tree-based methods for insurance |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249059 |
Denuit, Michel
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
| A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York, : Springer, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 25 cm. |
| Altri autori (Persone) |
Gyorfi, Laszlo
Lugosi, Gabor |
| Soggetto topico |
68T10 - Pattern recognition, speech recognition [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| ISBN | 03-87946-18-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0063381 |
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Devroye, Luc
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| New York, : Springer, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
| A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York, : Springer, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 25 cm |
| Altri autori (Persone) |
Gyorfi, Laszlo
Lugosi, Gabor |
| Soggetto topico |
68T10 - Pattern recognition, speech recognition [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| ISBN | 978-03-87946-18-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0063381 |
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Devroye, Luc
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| New York, : Springer, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XXVI, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive Modeling
Cross-validation Fractional polynomials Generalized additive modeling Heuristic search Nonlinear regression |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114260 |
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Knafl, George J.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XXVI, 372 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114260 |
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Knafl, George J.
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| XXVI, 372 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Sampling Methods / Raosaheb Latpate ... [et al.]
| Advanced Sampling Methods / Raosaheb Latpate ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xvii, 301 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M30 - Inference from spatial processes [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Adaptive sampling methods
Advanced sampling methods Cluster sampling Double sampling Rank set sampling Resampling methods Sampling methods Stratified Random Sampling Systematic sampling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275414 |
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
| Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xi, 524 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Classification
Cluster analysis Complex data Marketing Science Multidimensional Representation of Data Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250066 |
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances in Data Science / Ilke Demir ... [et al.] editors
| Advances in Data Science / Ilke Demir ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 364 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 62-XX - Statistics [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Data analysis
Discrete approximations Health science Incomplete and multi-modal data Methods involving duality Networking Regularization Spatial-temporal dynamics modeling Statistical topological learning algorithms User anonymity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274518 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XI, 113 p. : ill. ; 24 cm |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Dynamic mixtures
Markov switching models Mixture estimation algorithms Mixture models Mixture prediction Mixtures of various distributions Open source programs Recursive Bayesian estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123391 |
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Nagy, Ivan
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Algorithms and programs of dynamic mixture Estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture Estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | XI, 113 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123391 |
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Nagy, Ivan
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| XI, 113 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
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62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
(63)
- 62-XX - Statistics [MSC 2020] (36)
- 62R07 - Statistical aspects of big data and data science [MSC 2020] (16)
- 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] (13)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (13)