Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang
| Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang |
| Autore | Gupta, Shanti S. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1981 |
| Descrizione fisica | vii, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Huang, Deng-Yuan |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 62F07 - Statistical ranking and selection procedures [MSC 2020] 62J15 - Paired and multiple comparisons; multiple testing [MSC 2020] |
| Soggetto non controllato |
Correlation
Decision Multiple testing Normal distribution Probability distribution Random variables |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268408 |
|
Gupta, Shanti S.
|
||
| New York, : Springer-Verlag, 1981 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang
| Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang |
| Autore | Gupta, Shanti S. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1981 |
| Descrizione fisica | vii, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Huang, Deng-Yuan |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 62F07 - Statistical ranking and selection procedures [MSC 2020] 62J15 - Paired and multiple comparisons; multiple testing [MSC 2020] |
| Soggetto non controllato |
Correlation
Decision Multiple testing Normal distribution Probability distribution Random variables |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268408 |
|
Gupta, Shanti S.
|
||
| New York, : Springer-Verlag, 1981 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Planning and Analyzing Clinical Trials with Composite Endpoints / Geraldine Rauch, Svenja Schüler, Meinhard Kieser
| Planning and Analyzing Clinical Trials with Composite Endpoints / Geraldine Rauch, Svenja Schüler, Meinhard Kieser |
| Autore | Rauch, Geraldine |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvi, 255 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Kieser, Meinhard
Schüler, Svenja |
| Soggetto topico |
62Lxx - Sequential statistical methods [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clinical Trials
Competing risks Composite endpoints Multiple testing Sample size calculation Sequential designs Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124393 |
|
Rauch, Geraldine
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Planning and Analyzing Clinical Trials with Composite Endpoints / Geraldine Rauch, Svenja Schüler, Meinhard Kieser
| Planning and Analyzing Clinical Trials with Composite Endpoints / Geraldine Rauch, Svenja Schüler, Meinhard Kieser |
| Autore | Rauch, Geraldine |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvi, 255 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Kieser, Meinhard
Schüler, Svenja |
| Soggetto topico |
62Lxx - Sequential statistical methods [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clinical Trials
Competing risks Composite endpoints Multiple testing Sample size calculation Sequential designs Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124393 |
|
Rauch, Geraldine
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical analysis for high-dimensional data : the Abel symposium 2014 / Arnoldo Frigessi ... [et al.] editors
| Statistical analysis for high-dimensional data : the Abel symposium 2014 / Arnoldo Frigessi ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XII, 306 p. : ill. ; 24 cm |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Dimension reduction
Factor models High dimensional inference Multiple testing Penelised regression Sparsity Statistical genomics Statistical inference in high dimensions Thresholding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115372 |
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical analysis for high-dimensional data : the Abel symposium 2014 / Arnoldo Frigessi ... [et al.] editors
| Statistical analysis for high-dimensional data : the Abel symposium 2014 / Arnoldo Frigessi ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XII, 306 p. : ill. ; 24 cm |
| Soggetto topico |
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62Fxx - Parametric inference [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Dimension reduction
Factor models High dimensional inference Multiple testing Penelised regression Sparsity Statistical genomics Statistical inference Thresholding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00115372 |
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||