2 papers
cs.DS2022
Scalable -d trees for distributed data
Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe
Data structures known as -d trees have numerous applications in scientific computing, particularly in areas of modern statistics and data science such as range search in decisio…
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…