Catálogo de publicaciones - libros
Título de Acceso Abierto
Big Data Analytics and Information Science for Business and Biomedical Applications II
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
bandwidth selection; correlation; edge-preserving image denoising; image sequence; jump regression analysis; local smoothing; nonparametric regression; spatio-temporal data; linear mixed model; ridge estimation; pretest and shrinkage estimation; multicollinearity; asymptotic bias and risk; LASSO estimation; high-dimensional data; big data adaptation; dividend estimation; options markets; weighted least squares; online health community; social support; network analysis; cancer; functional principal component analysis; functional predictor; linear mixed-effects model; mobile device; sparse group regularization; wearable device data; Bayesian modeling; functional regression; gestational weight; infant birth weight; joint modeling; longitudinal data; maternal weight gain; transfer learning; deep learning; pretrained neural networks; chest X-ray images; lung diseases; causal structure learning; consistency; FCI algorithm; high dimensionality; nonparametric testing; PC algorithm; fMRI; functional connectivity; brain network; Human Connectome Project; statistics
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No requiere | Directory of Open access Books |
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Información
Tipo de recurso:
libros
País de edición
Suiza
Información sobre derechos de publicación
Unless otherwise agreed, edited books (book as a whole) are labeled as u201cOpen Accessu201d and licensed by the respective authors in accordance with the Creative Commons Attribution (CC BY-NC-ND) license. The license allows users to download, copy, and build upon published work non-commercially, as long as the author and publisher are properly credited. If the material is transformed or built upon, the resulting work may not be distributed. The source of the published text must be identified and the DOI of the book should be given. Unless otherwise agreed, articles and monographs are labeled as u201cOpen Accessu201d and licensed by the respective authors in accordance with the Creative Commons Attribution (CC BY) license. The u201cOpen Accessu201d license allows unlimited distribution and reuse as long as appropriate credit is given to the original source and any changes made compared to the original are indicated. The source of the published text must be identified and the DOI of the article should be given.
