LEADER 03543nam 2201009z- 450 001 9910576873203321 005 20220621 035 $a(CKB)5720000000008444 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84584 035 $a(oapen)doab84584 035 $a(EXLCZ)995720000000008444 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (226 p.) 311 08$a3-0365-4297-3 311 08$a3-0365-4298-1 330 $aThis book addresses contemporary statistical inference issues when no or minimal assumptions on the nature of studied phenomenon are imposed. Information theory methods play an important role in such scenarios. The approaches discussed include various high-dimensional regression problems, time series and dependence analyses. 606 $aHistory of engineering and technology$2bicssc 606 $aMechanical engineering and materials$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aadaptive splines 610 $aarchimedean copula 610 $aB-splines 610 $achange points 610 $aCIFE 610 $aCMI 610 $aconditional infomax feature extraction 610 $aconditional mutual information 610 $aconsistency 610 $aconsistent selection 610 $aentropy 610 $aestimation 610 $aextreme-value copula 610 $agaussian mixture 610 $ageneralized information criterion 610 $agenerative tree model 610 $ahigh-dimensional regression 610 $ahigh-dimensional time series 610 $ainfluence functions 610 $ainformation measures 610 $ainformation theory 610 $aJMI 610 $ajoint mutual information criterion 610 $akernel estimation 610 $alearning systems 610 $aloss function 610 $aMarkov blanket 610 $amaximum likelihood estimation 610 $aminimum distance estimation 610 $amisclassification risk 610 $amisspecification 610 $amodel misspecification 610 $amultivariate analysis 610 $an/a 610 $anetwork estimation 610 $anonparametric variable selection criteria 610 $anonstationarity 610 $aparameter estimation 610 $apenalized estimation 610 $aprediction methods 610 $aprivacy 610 $arandom predictors 610 $aright-censored data 610 $arobustness 610 $asemiparametric regression 610 $astatistical learning theory 610 $asubgaussianity 610 $asupervised classification 610 $asynthetic data transformation 610 $atail dependency 610 $atime series 610 $avariable selection consistency 615 7$aHistory of engineering and technology 615 7$aMechanical engineering and materials 615 7$aTechnology: general issues 700 $aMielniczuk$b Jan$4edt$01325229 702 $aMielniczuk$b Jan$4oth 906 $aBOOK 912 $a9910576873203321 996 $aNonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods$93036710 997 $aUNINA