A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data

DOI10.1214/14-AOAS772zbMath1454.62366arXiv1502.00754OpenAlexW2039556215MaRDI QIDQ2258581

Christophe Buyck, Geert Molenberghs, Ariel Alonso, Luc Bijnens, Elasma Milanzi

Publication date: 26 February 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1502.00754

zbMATH Keywords

ratermaximum likelihoodpseudo-likelihoodsplit samples

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Sliced Inverse Regression for Dimension Reduction
• An Adaptive Estimation of Dimension Reduction Space
• Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles

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