03354nam 2200781z- 450 9910404091103321202102123-03928-547-5(CKB)4100000011302227(oapen)https://directory.doabooks.org/handle/20.500.12854/61517(oapen)doab61517(EXLCZ)99410000001130222720202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierUncertainty Quantification Techniques in StatisticsMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (128 p.)3-03928-546-7 Uncertainty quantification (UQ) is a mainstream research topic in applied mathematics and statistics. To identify UQ problems, diverse modern techniques for large and complex data analyses have been developed in applied mathematics, computer science, and statistics. This Special Issue of Mathematics (ISSN 2227-7390) includes diverse modern data analysis methods such as skew-reflected-Gompertz information quantifiers with application to sea surface temperature records, the performance of variable selection and classification via a rank-based classifier, two-stage classification with SIS using a new filter ranking method in high throughput data, an estimation of sensitive attribute applying geometric distribution under probability proportional to size sampling, combination of ensembles of regularized regression models with resampling-based lasso feature selection in high dimensional data, robust linear trend test for low-coverage next-generation sequence data controlling for covariates, and comparing groups of decision-making units in efficiency based on semiparametric regression.?1 lasso?2 ridgeaccuracyadapative lassoadaptive lassoallele read countsAUROCBH-FDRdata envelopment analysiselastic netensemblesentropyfeature selectiongene expression datagene-expression datageometric distributiongeometric meanGompertz distributiongroup efficiency comparisonhigh-throughputKullback-Leibler divergenceLaplacian matrixlassoLASSOlow-coverageMCPmixture modelnext-generation sequencingprobability proportional to size (PPS) samplingrandomization deviceresamplingsandwich variance estimatorSCADsea surface temperaturesemiparametric regressionsensitive attributeSISSkew-Reflected-Gompertz distributionstochastic frontier modelYennum et al.'s modelKim Jong-Minauth1326693BOOK9910404091103321Uncertainty Quantification Techniques in Statistics3037675UNINA