Tuning parameter selection for penalised empirical likelihood with a diverging number of parameters
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Publication:5221307
DOI10.1080/10485252.2020.1717491zbMath1435.62447OpenAlexW3003745123MaRDI QIDQ5221307
Publication date: 25 March 2020
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2020.1717491
Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Statistical aspects of information-theoretic topics (62B10) Statistical aspects of big data and data science (62R07)
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