Distributed statistical learning algorithm for nonlinear regression with autoregressive errors.

Distributed statistical optimization for non-randomly stored big data with application to penalized learning.

Renewable quantile regression for streaming datasets.

Communication-efficient surrogate quantile regression for non-randomly distributed system.

Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network.

Filtering in Pairwise Markov Model With Student's t Non-Stationary Noise With Application to Target Tracking.

Robust communication-efficient distributed composite quantile regression and variable selection for massive data.

Robust distributed modal regression for massive data.

Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection.

Deep Hole Drilling of Large-Diameter Titanium Alloy With a Novel Rotary Low-Frequency Vibration Device.

Costs and benefits of XBRL adoption: early evidence.

Modeling RBRT adoption and its effects on cost of capital.