Big Data Analytics and Information Science for Business and Biomedical Applications 

<br/><br/><br/>English[eng] 
<br/><br/><label>ISBN: </label>9783040000000 
<br/><br/><label>Subjects--Topical Terms: </label><br/>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