Stochastic models, statistics and their Applications : Dresden, Germany, March 2019 / Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xvi, 450 p. : ill. ; 24 cm |
Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
60E05 - Probability distributions: general theory [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62N01 - Censored data models [MSC 2020] |
Soggetto non controllato |
Algorithms
Big Data Change points and detection Copulas Data science Econometrics High-dimensional statistics Machine learning Nonparametric Estimation Random fields Reliability theory Simulations Statistics for Stochastic Processes Stochastic models Survival analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127170 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic models, statistics and their Applications : Wrocław, Poland, February 2015 / Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski editors |
Pubbl/distr/stampa | [Cham], : Springer, 2015 |
Descrizione fisica | XX, 492 p. : ill. ; 24 cm |
Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 00A69 - General applied mathematics [MSC 2020] 62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Big Data
Change-Point Analysis and Detection Spatial and High-Dimensional Statistics Statistical inference Statistics for Stochastic Processes Time Series Analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0113328 |
[Cham], : Springer, 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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