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Exploring the lipoprotein composition using Bayesian regression on serum lipidomic profiles.

, , , , , , , , and . ISMB/ECCB (Supplement of Bioinformatics), page 519-528. (2007)

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Speeding up the binary Gaussian process classification., and . UAI, page 623-631. AUAI Press, (2010)Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables., , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 769-777. JMLR.org, (2014)Features and Metric from a Classifier Improve Visualizations with Dimension Reduction., and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 225-234. Springer, (2009)Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC., , and . Stat. Comput., 27 (5): 1433 (2017)Projection predictive variable selection using Stan+R, and . (2015)cite arxiv:1508.02502.Understanding predictive information criteria for Bayesian models, , and . Statistics and Computing, 24 (6): 997--1016 (2014)Pareto Smoothed Importance Sampling, , and . (Oct 21, 2017)Projective Inference in High-dimensional Problems: Prediction and Feature Selection., , and . CoRR, (2018)Efficient estimation and correction of selection-induced bias with order statistics., and . Stat. Comput., 34 (4): 132 (August 2024)Challenges and Opportunities in High Dimensional Variational Inference., , , , , and . NeurIPS, page 7787-7798. (2021)