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Asymptotic Optimality of Likelihood-Based Cross-Validation

Laan, Mark van der; Dudoit, Sandrine; Keles, Sunduz - In: Statistical Applications in Genetics and Molecular Biology 3 (2009) 1, pp. 4-4

Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d. observations from the true density among a collection of candidate density estimators. General examples are the selection of a model indexing a maximum likelihood estimator, and the...

Persistent link: https://www.econbiz.de/10005046590

Asymptotic Optimality of Likelihood-Based Cross-Validation

Laan, Mark van der; Dudoit, Sandrine; Keles, Sunduz - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 4-4

Persistent link: https://www.econbiz.de/10005752553

Semi-Parametric Differential Expression Analysis via Partial Mixture Estimation

Rossell, David; Guerra, Rudy; Scott, Clayton - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 1, pp. 15-15

We develop an approach for microarray differential expression analysis, i.e. identifying genes whose expression levels differ between two or more groups. Current approaches to inference rely either on full parametric assumptions or on permutation-based techniques for sampling under the null...

Persistent link: https://www.econbiz.de/10005585082

Empirical Bayes Microarray ANOVA and Grouping Cell Lines by Equal Expression Levels

Ingrid LÃÂ¶nnstedt; Rimini, Rebecca; Nilsson, Peter - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 7-7

methods for analysis of variance. Linear models and ANOVA are heavily used tools in many other disciplines of scientific … replicates. We present three potential one-way ANOVA statistics in a parametric statistical framework. The aim is to separate … is also outlined for more general ANOVA tests including several factors. The methods presented are implemented in the …

Persistent link: https://www.econbiz.de/10005046615