03491nam 2200997z- 450 991063778400332120231214133002.03-0365-5550-1(CKB)5470000001631697(oapen)https://directory.doabooks.org/handle/20.500.12854/94553(EXLCZ)99547000000163169720202212d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierBig Data Analytics and Information Science for Business and Biomedical Applications IIBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (196 p.)3-0365-5549-8 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 applied and theoretical contributions to these areas are showcased.Information technology industriesbicsscComputer sciencebicsscbandwidth selectioncorrelationedge-preserving image denoisingimage sequencejump regression analysislocal smoothingnonparametric regressionspatio-temporal datalinear mixed modelridge estimationpretest and shrinkage estimationmulticollinearityasymptotic bias and riskLASSO estimationhigh-dimensional databig data adaptationdividend estimationoptions marketsweighted least squaresonline health communitysocial supportnetwork analysiscancerfunctional principal component analysisfunctional predictorlinear mixed-effects modelmobile devicesparse group regularizationwearable device dataBayesian modelingfunctional regressiongestational weightinfant birth weightjoint modelinglongitudinal datamaternal weight gaintransfer learningdeep learningpretrained neural networkschest X-ray imageslung diseasescausal structure learningconsistencyFCI algorithmhigh dimensionalitynonparametric testingPC algorithmfMRIfunctional connectivitybrain networkHuman Connectome ProjectstatisticsInformation technology industriesComputer scienceAhmed S. Ejazedt1062202Nathoo FaroukedtAhmed S. EjazothNathoo FaroukothBOOK9910637784003321Big Data Analytics and Information Science for Business and Biomedical Applications II3024067UNINA