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A General Approach for Simulation-based Bias Correction in High Dimensional Settings

S Guerrier, M Karemera, S Orso… - arXiv preprint arXiv …, 2020 - arxiv.org
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An important challenge in statistical analysis lies in controlling the bias of estimators due to the ever-increasing data size and model complexity. Approximate numerical methods and …

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@misc{guerrier2020general,
title={A General Approach for Simulation-based Bias Correction in High Dimensional Settings},
author={Stéphane Guerrier and Mucyo Karemera and Samuel Orso and Maria-Pia Victoria-Feser and Yuming Zhang},
year={2020},
eprint={2010.13687},
archivePrefix={arXiv},
primaryClass={id='math.ST' full_name='Statistics Theory' is_active=True alt_name='stat.TH' in_archive='math' is_general=False description='Applied, computational and theoretical statistics e.g. statistical inference, regression, time series, multivariate analysis, data analysis, Markov chain Monte Carlo, design of experiments, case studies'}
}

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