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 | ||
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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 |
West, Bruce J. | ||
Berlin, : Springer, 1985 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
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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 |
Härdle, Wolfgang Karl | ||
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Applied multivariate statistics with R / Daniel Zelterman |
Autore | Zelterman, Daniel |
Pubbl/distr/stampa | [Cham], : Springer, 2015 |
Descrizione fisica | XVI, 393 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 Matrix algebra biostatistics Normal distribution R software Statistical inference for biology Systems biology Time series models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0113335 |
Zelterman, Daniel | ||
[Cham], : Springer, 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian nonparametric data analysis / Peter Müller ... [et al.] |
Pubbl/distr/stampa | [Cham], : Springer, 2015 |
Descrizione fisica | XIV, 193 p. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62G07 - Density estimation [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 60G57 - Random measures [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
Soggetto non controllato |
Bayesian Statistics
Clustering Markov Chains Mixture models Monte Carlo Nonparametrics |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0113615 |
[Cham], : Springer, 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens |
Autore | Wehrens, Ron |
Edizione | [2. ed] |
Pubbl/distr/stampa | Berlin, : Springer, 2020 |
Descrizione fisica | xvi, 308 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
Soggetto non controllato |
Boootstrap
Clustering Linear regression Missing values Multidimensional Scaling Multivariate curve resolution Multivariate statistics Neural networks Non-Linear regression Partial least squares regression Principal component analysis R software Ssupport vector machines Statistical process control Time warping Variable Selection |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248480 |
Wehrens, Ron | ||
Berlin, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Classification, (Big) Data Analysis and Statistical Learning / Francesco Mola, Claudio Conversano, Maurizio Vichi editors |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xvi, 242 p. : ill. ; 24 cm |
Soggetto topico |
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Applications of statistics
Big Data Classification Clustering Computational statistics Data science Integration of data Machine learning Social networks Statistical Data Analysis Statistical learning Time series clustering |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124600 |
Cham, : Springer, 2018 | ||
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 |
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 | ||
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Data Analysis and Rationality in a Complex World / Theodore Chadjipadelis ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xvii, 349 p. : ill. ; 24 cm |
Soggetto non controllato |
Aggregated data
Classification Clustering Complex data Computational methods Data analysis Data integrity and data overload Data science Desicion making Exploratory data analysis Knowledge Discovery Multivariate Analysis Multivariate data analysis Statistical modeling |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274690 |
Cham, : Springer, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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