Large-scale data are common when the sample size n is large, and these data are often stored on k different local machines. Distributed statistical learning is an efficient way to deal with such data.

Guangren Yang, Qianqian Wang, Xia Cui, Yanyuan Ma, Generalized partially linear single index model with measurement error, instruments and binary response, Brazilian Journal of Probability and ...