A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques

A selective review of statistical methods using calibration information from similar studies

A review of distributed statistical inference

Inference after covariate-adaptive randomisation: aspects of methodology and theory

On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures

A selective overview of sparse sufficient dimension reduction

Optimal reinsurance designs based on risk measures: a review

Multi-category diagnostic accuracy based on logistic regression

Robust optimal reinsurance-investment strategy with extrapolative bias premiums and ambiguity aversion