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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 topico |
62-XX - Statistics [MSC 2020]
62H22 - Probabilistic graphical models [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| 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 |
Lederer, Johannes
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| Cham, : Springer, 2022 | ||
| 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 topico |
62-XX - Statistics [MSC 2020]
62H22 - Probabilistic graphical models [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| 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-VAN00277448 |
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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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Introduction to Graphical Modelling / David Edwards
| Introduction to Graphical Modelling / David Edwards |
| Autore | Edwards, David |
| Pubbl/distr/stampa | New York, : Springer, 1995 |
| Descrizione fisica | xii, 274 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A09 - Graphical methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
Conditioning
Development Forms Graphical Models Graphs Independence Models Personal computer Presentation Selections Software Testing Variables |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00295038 |
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Edwards, David
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| New York, : Springer, 1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Lectures on Categorical Data Analysis / Tamás Rudas
| Lectures on Categorical Data Analysis / Tamás Rudas |
| Autore | Rudas, Tamás |
| Pubbl/distr/stampa | New York, : Springer, 2018 |
| Descrizione fisica | xi, 285 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 60Exx - Distribution theory [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Association and Causation
Biostatistics Categorical data analysis Causal Analysis Data analysis Exponential Family Graphical Models Latent class analysis Log-linear models Markov properties Simpson's paradox Social Statistics Survey Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125185 |
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Rudas, Tamás
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| New York, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Lectures on Categorical Data Analysis / Tamás Rudas
| Lectures on Categorical Data Analysis / Tamás Rudas |
| Autore | Rudas, Tamás |
| Pubbl/distr/stampa | New York, : Springer, 2018 |
| Descrizione fisica | xi, 285 p. : ill. ; 24 cm |
| Soggetto topico |
60Exx - Distribution theory [MSC 2020]
62-XX - Statistics [MSC 2020] 62F10 - Point estimation [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Association and Causation
Biostatistics Categorical data analysis Causal Analysis Data analysis Exponential Families Graphical Models Latent class analysis Log-linear models Markov properties Simpson's paradox Social Statistics Survey Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125185 |
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Rudas, Tamás
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| New York, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical foundations of complex networked information systems : Politecnico di Torino, Verrès, Italy 2009 / P. R. Kumar, Martin J. Wainwright, Riccardo Zecchina ; Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi editors
| Mathematical foundations of complex networked information systems : Politecnico di Torino, Verrès, Italy 2009 / P. R. Kumar, Martin J. Wainwright, Riccardo Zecchina ; Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi editors |
| Autore | Kumar, Panqanamala Ramana |
| Pubbl/distr/stampa | Cham [etc.], : Springer, 2015 |
| Descrizione fisica | VII, 135 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Wainwright, Martin J.
Zecchina, Riccardo |
| Soggetto topico |
05C80 - Random graphs (graph-theoretic aspects) [MSC 2020]
05C85 - Graph algorithms (graph-theoretic aspects) [MSC 2020] 05C90 - Applications of graph theory [MSC 2020] |
| Soggetto non controllato |
Complex Networks
Graphical Models Random graphs Statistical Physics Wireless Networking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0105336 |
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Kumar, Panqanamala Ramana
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| Cham [etc.], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical foundations of complex networked information systems : Politecnico di Torino, Verrès, Italy 2009 / P. R. Kumar, Martin J. Wainwright, Riccardo Zecchina ; Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi editors
| Mathematical foundations of complex networked information systems : Politecnico di Torino, Verrès, Italy 2009 / P. R. Kumar, Martin J. Wainwright, Riccardo Zecchina ; Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi editors |
| Autore | Kumar, Panqanamala R. |
| Pubbl/distr/stampa | Cham [etc.], : Springer, 2015 |
| Descrizione fisica | VII, 135 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Wainwright, Martin J.
Zecchina, Riccardo |
| Soggetto topico |
05C80 - Random graphs (graph-theoretic aspects) [MSC 2020]
05C85 - Graph algorithms (graph-theoretic aspects) [MSC 2020] 05C90 - Applications of graph theory [MSC 2020] |
| Soggetto non controllato |
Complex Networks
Graphical Models Random graphs Statistical Physics Wireless Networking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00105336 |
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Kumar, Panqanamala R.
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| Cham [etc.], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Robust and Multivariate Statistical Methods : Festschrift in Honor of David E. Tyler / Mengxi Yi, Klaus Nordhausen editors
| Robust and Multivariate Statistical Methods : Festschrift in Honor of David E. Tyler / Mengxi Yi, Klaus Nordhausen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xviii, 495 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] |
| Soggetto non controllato |
Asymptotics
Graphical Models High-dimensional Methods Multivariate Analysis Multivariate statistical methods Normal Extremes Robust Estimation Robust Statistical Methods Robustness Supervised learning Time Series Analysis Tyler's Shape Estimator Tyler's Shape Matrix |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278999 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors]
| Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 201 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Classification Clustering Complex data Data analysis Explanatory data analysis Functional data Graphical Models Machine learning methods Multidimensional Scaling Multiway data Network data Pattern recognition Statistical learning Statistical modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127162 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors]
| Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 201 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Kxx - Design of statistical experiments [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
Classification Clustering Complex data Data analysis Explanatory data analysis Functional data Graphical Models Machine learning methods Multidimensional Scaling Multiway data Network data Pattern recognition Statistical learning Statistical modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127162 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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