Big and Complex Data Analysis Methodologies and Applications

Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Regularization After Marginal Learning for Ultra-High Dimensional Regression Models....Pages 3-28
Empirical Likelihood Test for High Dimensional Generalized Linear Models....Pages 29-50
Random Projections for Large-Scale Regression....Pages 51-68
Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values....Pages 69-82
Analysis of Correlated Data with Error-Prone Response Under Generalized Linear Mixed Models....Pages 83-102
Bias-Reduced Moment Estimators of Population Spectral Distribution and Their Applications....Pages 103-119
Front Matter....Pages 121-121
Statistical Process Control Charts as a Tool for Analyzing Big Data....Pages 123-138
Fast Community Detection in Complex Networks with a K-Depths Classifier....Pages 139-157
How Different Are Estimated Genetic Networks of Cancer Subtypes?....Pages 159-192
A Computationally Efficient Approach for Modeling Complex and Big Survival Data....Pages 193-207
Tests of Concentration for Low-Dimensional and High-Dimensional Directional Data....Pages 209-227
Nonparametric Testing for Heterogeneous Correlation....Pages 229-246
Front Matter....Pages 247-247
Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Linear Models....Pages 249-284
High Dimensional Data Analysis: Integrating Submodels....Pages 285-304
High-Dimensional Classification for Brain Decoding....Pages 305-324
Unsupervised Bump Hunting Using Principal Components....Pages 325-345
Identifying Gene–Environment Interactions Associated with Prognosis Using Penalized Quantile Regression....Pages 347-367
A Mixture of Variance-Gamma Factor Analyzers....Pages 369-385