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Título de Acceso Abierto

Big Data Analytics and Information Science for Business and Biomedical Applications

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

high-dimensional; nonlocal prior; strong selection consistency; estimation consistency; generalized linear models; high dimensional predictors; model selection; stepwise regression; deep learning; financial time series; causal and dilated convolutional neural networks; nuisance; post-selection inference; missingness mechanism; regularization; asymptotic theory; unconventional likelihood; high dimensional time-series; segmentation; mixture regression; sparse PCA; entropy-based robust EM; information complexity criteria; high dimension; multicategory classification; DWD; sparse group lasso; L2-consistency; proximal algorithm; abdominal aortic aneurysm; emulation; Medicare data; ensembling; high-dimensional data; Lasso; elastic net; penalty methods; prediction; random subspaces; ant colony system; bayesian spatial mixture model; inverse problem; nonparamteric boostrap; EEG/MEG data; feature representation; feature fusion; trend analysis; text mining

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-3192-2

País de edición

Suiza