000			01367nam a2200133Ia 4500
008			220620s9999||||xx |||||||||||||| ||und||
020			_a9783040000000
245		0	_aBig Data Analytics and Information Science for Business and Biomedical Applications
546			_aEnglish[eng]
650			_ahigh-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
700			_aAhmed, S. Ejaz||Nathoo, Farouk
856			_uhttps://mdpi.com/books/pdfview/book/4975
942			_cEB
999			_c29890 _d29890