Recent Developments in Statistical Theory and Methods Based on Distributed Computing







** This workshop is by invitation only **


This workshop took place at the Casa Matemática Oaxaca, Oaxaca, Mexico


This workshop will bring together researchers and practitioners who have recently worked to explore theory, algorithms, and applications of statistical procedures that are developed for distributed data and aggregated inference (i.e., distributed inference), with considerations on the storage, computational complexity, and statistical properties of the relevant estimators. The aim of this line of activities is to develop practical models, statistical theory, and computationally efficient and provably correct algorithms that can help scientists to conduct more effective distributed data analysis.

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