Divide-and-conquer with finite sample sizes: valid and efficient possibilistic inference

Emily C. Hector, Leonardo Cella, Ryan Martin

Divide-and-conquer methods use large-sample approximations to provide frequentist guarantees when each block of data is both small enough to facilitate efficient computation and la…