Statistics and Its Interface

Contents of Volume 3

From the Editors

A penalized maximum likelihood approach to sparse factor analysis

Robust neural network with applications to credit portfolio data analysis

Spline-based models for predictiveness curves and surfaces

Empirical likelihood confidence intervals for ratio of hazard rates under right censorship

Utility-based weighted multicategory robust support vector machines

Variance model selection with application to joint analysis of multiple microarray datasets under false discovery rate control

Dimension reduction and parameter estimation for additive index models

Simultaneous set-wise testing under dependence, with applications to genome-wide association studies

Bayesian co-segmentation of multiple MR images

Predicting kinase functional sites using hierarchical stochastic language modelling

Double shrinkage empirical Bayesian estimation for unknown and unequal variances

Design cost-effective genome-wide and candidate gene association studies of mother-child pairs

Group variable selection via a hierarchical lasso and its oracle property