Chunked-and-averaged estimators for vector parameters
Hien D. Nguyen and
Geoffrey J. McLachlan
Statistics & Probability Letters, 2018, vol. 137, issue C, 336-342
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: Asymptotic statistics; Big data; Divide-and-conquer; Distributed computing; Parameter estimation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:137:y:2018:i:c:p:336-342
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DOI: 10.1016/j.spl.2018.02.051
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