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Advances and Innovations in Statistics and Data Science / Wenqing He ... [et al.] editors
| Advances and Innovations in Statistics and Data Science / Wenqing He ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xvii, 332 p. : ill. ; 24 cm |
| Soggetto non controllato |
Biostatistics
Data science High-Dimensional Data High-dimensional statistics Statistical Methods Survey sampling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276820 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors
| Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XV, 414 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Advanced methods in time series
Big Data Complex data Forecasting Forecasting in real problems High-Dimensional Data Irregularly sampled time series Linear and non-linear time series Multi-scale analysis of time series On-line learning in time series Time Series Analysis Time series forecasting Univariate and multivariate time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123361 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology / Ansgar Steland, Kwok-Leung Tsui editors
| Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology / Ansgar Steland, Kwok-Leung Tsui editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | viii, 376 p. : ill. ; 24 cm |
| Soggetto non controllato |
Artificial Intelligence
Big Data Data science Environmetrics High-Dimensional Data Machine learning Statistical Methods Statistics in Technology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276929 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big data analytics : methods and applications / Saumyadipta Pyne, B. L. S. Prakasa Rao, S. B. Rao editors
| Big data analytics : methods and applications / Saumyadipta Pyne, B. L. S. Prakasa Rao, S. B. Rao editors |
| Pubbl/distr/stampa | [New Delhi], : Springer, 2016 |
| Descrizione fisica | XII, 276 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Computational statistics Data Mining Data science High-Dimensional Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114492 |
| [New Delhi], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli
| Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli |
| Autore | Bernardi, Enrico |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiii, 206 p. : ill. ; 24 cm |
| Altri autori (Persone) | Romagnoli, Silvia |
| Soggetto non controllato |
Big data in finance
Clustering Combinatoric calculus Copula function Copula-based approach to counting Counting random events Counting random variables Counting statistics Dependent random events Hierarchical dependence structures High-Dimensional Data High-dimensional problem Matlab code |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274686 |
Bernardi, Enrico
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors
| Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
| Descrizione fisica | vii, 131 p. : ill. ; 24 cm |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Epidemiology Genetics HIV research High-Dimensional Data Integrative omics Inverse regression Ionising radiation Low dose Penalized regression Radiation Biology Survival analysis Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123864 |
| Cham, : Birkhäuser, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of High-Dimensional Statistics : With Exercises and R Labs / Johannes Lederer
| Fundamentals of High-Dimensional Statistics : With Exercises and R Labs / Johannes Lederer |
| Autore | Lederer, Johannes |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xiv, 355 p. : ill. ; 24 cm |
| Soggetto non controllato |
Calibration
Estimation Graphical Models High dimensional inference High-Dimensional Data High-dimensional statistics Lasso Linear regression Prediction R labs Regularization Sparsity Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277448 |
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Lederer, Johannes
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Nonlinear Dimensionality Reduction Techniques : A Data Structure Preservation Approach / Sylvain Lespinats, Benoit Colange, Denys Dutykh
| Nonlinear Dimensionality Reduction Techniques : A Data Structure Preservation Approach / Sylvain Lespinats, Benoit Colange, Denys Dutykh |
| Autore | Lespinats, Sylvain |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 247 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Colange, Benoit
Dutykh, Denys |
| Soggetto non controllato |
Data Mining
Dimensionality reduction High-Dimensional Data Intrinsic dimensionality Mapping evaluation Visual analytics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277967 |
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Lespinats, Sylvain
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 547 p. : ill. ; 24 cm |
| Soggetto topico |
62Gxx - Nonparametric inference [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249540 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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