Dimensionality reduction for binary data through the projection of natural parameters
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Publication:2201560
DOI10.1016/j.jmva.2020.104668zbMath1450.62069arXiv1510.06112OpenAlexW2164214353MaRDI QIDQ2201560
Yoonkyung Lee, Andrew J. Landgraf
Publication date: 29 September 2020
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1510.06112
Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
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Maximum A Posteriori Inference of Random Dot Product Graphs via Conic Programming ⋮ Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models ⋮ Percolate: an exponential family JIVE model to design DNA-based predictors of drug response ⋮ Bayesian mean-parameterized nonnegative binary matrix factorization
Uses Software
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