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Chunked-and-Averaged Estimators for Vector Parameters

Computation 2017-08-30 v4

Abstract

A divide-and-conquer method for parameter estimation is the chunked-and-averaged (CA) estimator. CA estimators have been studied for univariate parameters under independent and identically distributed (IID) sampling. We study the CA estimators of vector parameters and under non-IID sampling.

Keywords

Cite

@article{arxiv.1612.06492,
  title  = {Chunked-and-Averaged Estimators for Vector Parameters},
  author = {Hien D. Nguyen and Geoffrey J. McLachlan},
  journal= {arXiv preprint arXiv:1612.06492},
  year   = {2017}
}
R2 v1 2026-06-22T17:29:01.906Z