Inference on low-rank data matrices with applications to microarray data
From MaRDI portal
Publication:965132
DOI10.1214/09-AOAS262zbMath1184.62182arXiv1009.5861OpenAlexW2076901504MaRDI QIDQ965132
Publication date: 21 April 2010
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1009.5861
Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Monte Carlo methods (65C05) Testing in survival analysis and censored data (62N03)
Related Items
Statistical inference based on robust low-rank data matrix approximation, Inference on low-rank data matrices with applications to microarray data, A mixture factor model with applications to microarray data, A Generalized Least-Square Matrix Decomposition, Bootstrap Testing of the Rank of a Matrix via Least-Squared Constrained Estimation, Edge statistics of large dimensional deformed rectangular matrices
Cites Work
- Unnamed Item
- Inference on low-rank data matrices with applications to microarray data
- Extremes and related properties of random sequences and processes
- When does bootstrap work! Asymptotic results and simulations
- A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
- The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
- The analysis of gene expression data. Methods and software
- Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
- Estimation of Expression Indexes for Oligonucleotide Arrays Using the Singular Value Decomposition