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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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Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics / Tiziano Squartini, Diego Garlaschelli
| Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics / Tiziano Squartini, Diego Garlaschelli |
| Autore | Squartini, Tiziano |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 116 p. : ill. ; 24 cm |
| Altri autori (Persone) | Garlaschelli, Diego |
| Soggetto topico |
82-XX - Statistical mechanics, structure of matter [MSC 2020]
05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 93E12 - Identification in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Binary networks
Bootstrap methods Complex Networks Degree-corrected gravity model Directed networks Dyadic motifs Enhanced configuration model Maximum likelihood estimation Maximum-entropy Ensembles Triadic motifs Undirected networks Weighted networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0189713 |
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Squartini, Tiziano
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Pseudo-populations : a basic concept in statistical surveys / Andreas Quatember
| Pseudo-populations : a basic concept in statistical surveys / Andreas Quatember |
| Autore | Quatember, Andreas |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | X, 138 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020] |
| Soggetto non controllato |
Bootstrap methods
Nonresponse Randomized Response Techniques Sampling theory Statistical Disclosure Control Survey Methodology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113268 |
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Quatember, Andreas
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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