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stat.ME2021
Distributed estimation through parallel approximants
Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe
Designing scalable estimation algorithms is a core challenge in modern statistics. Here we introduce a framework to address this challenge based on parallel approximants, which yie…
stat.ME2018
Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC
Qi Liu, Anindya Bhadra, William S. Cleveland
In Divide & Recombine (D&R), big data are divided into subsets, each analytic method is applied to subsets, and the outputs are recombined. This enables deep analysis and practical…