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Sparse model identification and learning for ultra-high-dimensional additive partially linear models.

, , and . J. Multivar. Anal., (2019)

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Testing for ordered means in a variation of the normal mixture model. Journal of Statistical Planning and Inference, 107 (1-2): 143--153 (Sep 1, 2002)Sparse model identification and learning for ultra-high-dimensional additive partially linear models., , and . J. Multivar. Anal., (2019)Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning., , , , , , , , , and 1 other author(s). PLoS Comput. Biol., (2018)Genomics, prior probability, and statistical tests of multiple hypotheses, , and . Genome Res, 14 (6): 997-1001 (June 2004)Stability of Random Forests and Coverage of Random-Forest Prediction Intervals., , and . CoRR, (2023)Principal Components Regression With Data Chosen Components and Related Methods., and . Technometrics, 45 (1): 70-79 (2003)Mining MEDLINE: Abstracts, Sentences, or Phrases?, , , and . Pacific Symposium on Biocomputing, page 326-337. (2002)Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis., , and . Bioinform., 24 (2): 192-201 (2008)Tree aggregation for random forest class probability estimation., , and . Stat. Anal. Data Min., 13 (2): 134-150 (2020)Adjusting for gene-specific covariates to improve RNA-seq analysis., , , and . Bioinform., (August 2023)