Big Data Analytics and Information Science for Business and Biomedical Applications II

The analysis of big data in biomedical, business and financial research has drawn much attention from researchers worldwide. This collection of articles aims to provide a platform for an in-depth discussion of novel statistical methods developed for the analysis of Big Data in these areas. Both appl...

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Detalles Bibliográficos
Otros Autores:	Ahmed, S. Ejaz (Editor), Nathoo, Farouk (Otro)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Materias:	Information technology industries Computer science 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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009710519806719