Parallel computing in linear mixed models
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Publication:2203418
DOI10.1007/s00180-019-00950-7zbMath1505.62432OpenAlexW3000631131WikidataQ126402263 ScholiaQ126402263MaRDI QIDQ2203418
Barret Schloerke, Fulya Gokalp Yavuv
Publication date: 6 October 2020
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-019-00950-7
Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Point estimation (62F10) Statistical aspects of big data and data science (62R07)
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- Random-Effects Models for Longitudinal Data
- Linear mixed model with Laplace distribution (LLMM)
- Parallel statistical computing for statistical inference
- Parallel maximum likelihood estimator for multiple linear regression models
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- A parallel multisplitting solution of the least squares problem
- Parallel implementation of the TRANSIMS micro-simulation
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