Big and Complex Data Analysis

519.5

Big and Complex Data Analysis Methodologies and Applications / edited by S. Ejaz Ahmed. -
XIV, 386 p. 85 illus., 55 illus. in color. online resource. - (Contributions to Statistics, ) Content notes : Preface -- Introduction -- Unsupervised Bump Hunting Using Principal Components -- Statistical Process Control Charts as a Tool for Analyzing Big Data -- Empirical Likelihood Test for High Dimensional Generalized Linear Models -- Identifying gene-environment interactions associated with prognosis using penalized quantile regression -- A Computationally Efficient Approach for Modeling Complex and Big Survival Data -- Regularization after marginal learning for ultra-high dimensional regression models -- Tests of concentration for low-dimensional and high-dimensional directional data -- Random Projections For Large-Scale Regression -- How Different are Estimated Genetic Networks of Cancer Subtypes? -- Analysis of correlated data with error-prone response under generalized linear mixed models -- High-Dimensional Classification for Brain Decoding -- Optimal shrinkage estimation in heteroscedastic hierarchical linear models -- Bias-reduced moment estimators of Population Spectral Distribution and their applications -- Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values -- A Mixture of Variance-Gamma Factor Analyzers -- Fast Community Detection in Complex Networks with a K-Depths Classifier. 9783319415734 * Mathematical statistics. Big data. Statistical methods. Data mining. Statistical Theory and Methods. Statistics and Computing/Statistics Programs. Big Data/Analytics. Biostatistics. Data Mining and Knowledge Discovery. * Ahmed, S. Ejaz., edt, http://id.loc.gov/vocabulary/relators/edt * Title * Series