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Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz
| Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz |
| Autore | Durstewitz, Daniel |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxv, 292 p. : ill. ; 24 cm |
| Soggetto topico |
92C20 - Neural biology [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 |
Bootstrap methods
Change point analysis Clustering Dimensionality reduction Machine learning Multiple testing Multivariate maps and recurrent neural networks Multivariate statistics Neural time series Nonlinear dynamical systems Nonlinear oscillations Nonparametric time series modeling Principal component analysis Reconstructing state spaces from experimental data Statistical methods in neuroscience Statistical parameter estimation Unsupervised clustering |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123545 |
Durstewitz, Daniel
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz
| Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz |
| Autore | Durstewitz, Daniel |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxv, 292 p. : ill. ; 24 cm |
| Soggetto topico |
62R07 - Statistical aspects of big data and data science [MSC 2020]
68T09 - Computational aspects of data analysis and big data [MSC 2020] 92C20 - Neural biology [MSC 2020] |
| Soggetto non controllato |
Bootstrap methods
Change point analysis Clustering Dimensionality reduction Machine learning Multiple testing Multivariate maps and recurrent neural networks Multivariate statistics Neural time series Nonlinear dynamical systems Nonlinear oscillations Nonparametric time series modeling Principal component analysis Reconstructing state spaces from experimental data Statistical methods in neuroscience Statistical parameter estimation Unsupervised clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123545 |
|
Durstewitz, Daniel
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Essay on the Importance of Being Nonlinear / Bruce J. West
| An Essay on the Importance of Being Nonlinear / Bruce J. West |
| Autore | West, Bruce J. |
| Pubbl/distr/stampa | Berlin, : Springer, 1985 |
| Descrizione fisica | viii, 210 p. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 00A69 - General applied mathematics [MSC 2020] |
| Soggetto non controllato |
Clustering
Linear regression Mathematics Population |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0263448 |
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West, Bruce J.
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| Berlin, : Springer, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Essay on the Importance of Being Nonlinear / Bruce J. West
| An Essay on the Importance of Being Nonlinear / Bruce J. West |
| Autore | West, Bruce J. |
| Pubbl/distr/stampa | Berlin, : Springer, 1985 |
| Descrizione fisica | viii, 210 p. ; 24 cm |
| Soggetto topico |
00A69 - General applied mathematics [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
Clustering
Linear regression Mathematics Population |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00263448 |
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West, Bruce J.
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| Berlin, : Springer, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / Nadja Bauer … [et al.] editors]
| Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / Nadja Bauer … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 340 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
90-XX - Operations research, mathematical programming [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
Biometrics Classification Clustering Computational statistics Data analysis Data science Design of experiments Econometrics Industrial engineering Industrial quality improvement Machine learning Music data analysis Statistical computing Statistical process control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126726 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / Nadja Bauer … [et al.] editors]
| Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / Nadja Bauer … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 340 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] 90-XX - Operations research, mathematical programming [MSC 2020] |
| Soggetto non controllato |
Big Data
Biometrics Classification Clustering Computational statistics Data analysis Data science Design of experiments Econometrics Industrial engineering Industrial quality improvement Machine learning Music data analysis Statistical computing Statistical process control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126726 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang Karl |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Applications in Finance
Big data analysis Cluster analysis Clustering Computationally Intensive Techniques Conjoint Measurement Analysis Dimension Reduction Techniques Discriminant Analysis Hypothesis Testing Lasso and Elastic Net Multivariate Classification Multivariate data analysis Projection Persuit Quantitative Finance Sliced Inverse Regression Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126731 |
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Härdle, Wolfgang Karl
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang K. |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62F25 - Parametric tolerance and confidence regions [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Applications in Finance
Big data analysis Cluster analysis Clustering Computationally Intensive Techniques Conjoint Measurement Analysis Dimension Reduction Techniques Discriminant Analysis Hypothesis Testing Lasso and Elastic Net Multivariate Classification Multivariate data analysis Projection Persuit Quantitative Finance Sliced Inverse Regression Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126731 |
|
Härdle, Wolfgang K.
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||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xix, 463 p. : ill. ; 24 cm |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Longitudinal studies Matrix algebra biostatistics Normal distribution R software Statistical inference for biology Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0276877 |
|
Zelterman, Daniel
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||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xix, 463 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Longitudinal studies Matrix algebra biostatistics Normal distribution R software Statistical inference Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00276877 |
|
Zelterman, Daniel
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
