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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xv, 472 p. : ill. ; 24 cm
Soggetto topico 00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
62P15 - Applications of statistics to psychology [MSC 2020]
91D10 - Models of societies, social and urban evolution [MSC 2020]
91F10 - History, political science [MSC 2020]
Soggetto non controllato Behaviormetrics
Classification
Data science
Marketing Science
Multidimensional Representation of Data
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0250061
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xv, 472 p. : ill. ; 24 cm
Soggetto topico 00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020]
62P15 - Applications of statistics to psychology [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
91D10 - Models of societies, social and urban evolution [MSC 2020]
91F10 - History, political science [MSC 2020]
Soggetto non controllato Behaviormetrics
Classification
Data science
Marketing Science
Multidimensional Representation of Data
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00250061
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xi, 524 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta 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 Classification
Cluster analysis
Complex data
Marketing Science
Multidimensional Representation of Data
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0250066
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xi, 524 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
Soggetto non controllato Classification
Cluster analysis
Complex data
Marketing Science
Multidimensional Representation of Data
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00250066
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.]
An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 276 p. : ill. ; 24 cm
Soggetto topico 62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
Soggetto non controllato Big Data
Data Mining
Data analysis
Data science
Databases in R
Descriptive Statistics
Multivariate statistics
R code
R package
Statistical inference
Visualization
Web scraping
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248672
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.]
An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 276 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
Soggetto non controllato Big Data
Data Mining
Data analysis
Data science
Databases in R
Descriptive Statistics
Multivariate statistics
R code
R package
Statistical inference
Visualization
Web scraping
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00248672
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Autore Özarslan Evren
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (X, 280 p. 109 illus., 91 illus. in color.)
Disciplina 004
Collana Mathematics and Visualization
Soggetto topico Mathematics
Visualization
Matrix theory
Algebra
Computer mathematics
Optical data processing
Mathematical physics
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Soggetto non controllato Visualization
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Data and Information Visualization
Linear Algebra
tensor
tensor fields
higher-order harmonics
spherical harmonics
image processing
medical imaging
diffusion-weighted imaging (DWI)
structural mechanics
astrophysics
statistics
open access
Combinatorics & graph theory
Algebra
Maths for scientists
Computer vision
Mathematical physics
ISBN 3-030-56215-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry.
Record Nr. UNISA-996466563203316
Özarslan Evren  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Anisotropy Across Fields and Scales / Evren Özarslan ... [et al.] editors
Anisotropy Across Fields and Scales / Evren Özarslan ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica x, 280 p. : ill. ; 24 cm
Soggetto topico 68Uxx - Computing methodologies and applications [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020]
53-XX - Differential geometry [MSC 2020]
74E10 - Anisotropy in solid mechanics [MSC 2020]
15A69 - Multilinear algebra, tensor calculus [MSC 2020]
60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020]
Soggetto non controllato Astrophysics
Diffusion-weighted imaging
Higher-order harmonics
Image processing
Matrix theory
Medical Imaging
Spherical Harmonics
Statistics
Structural mechanics
Tensor
Tensor fields
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274551
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Anisotropy Across Fields and Scales / Evren Özarslan ... [et al.] editors
Anisotropy Across Fields and Scales / Evren Özarslan ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica x, 280 p. : ill. ; 24 cm
Soggetto topico 15A69 - Multilinear algebra, tensor calculus [MSC 2020]
53-XX - Differential geometry [MSC 2020]
60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020]
68Uxx - Computing methodologies and applications [MSC 2020]
74E10 - Anisotropy in solid mechanics [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020]
Soggetto non controllato Astrophysics
Diffusion-weighted imaging
Higher-order harmonics
Image processing
Matrix theory
Medical Imaging
Spherical Harmonics
Statistics
Structural mechanics
Tensor
Tensor fields
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274551
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
Autore Härdle, Wolfgang Karl
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica xxi, 305 p. : ill. ; 24 cm
Altri autori (Persone) Okhrin, Ostap
Okhrin, Yarema
Soggetto topico 62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62H15 - Hypothesis testing in multivariate analysis [MSC 2020]
Soggetto non controllato Computational statistics
Data reproducibility
Graphical techniques
High dimensional data analysis
Multivariate statistical analysis
Nonparametric methods
Numerical techniques in statistics
Programming language R
Quantlets
R sniplet
Random numbers
Regression
Univariate statistical analysis
Visualization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123979
Härdle, Wolfgang Karl  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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