Michael A. Newton
Statistics and Probability · 2001–2008
A researcher in the Science corpus: 6 papers; trusts 40 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 33 citations into it
- Molecular Biology — 25 citations into it; #3,263 of 17,773 by trust here, #6,283 by citations
- Artificial Intelligence — 20 citations into it
- Management Science and Operations Research — 11 citations into it; #7,049 of 11,946 by trust here, #7,262 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Michael A. Newton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Storey
- Sandrine Dudoit
- Yoav Benjamini
- S. MacEachern
- Radford M. Neal
- Christina Kendziorski
- Bradley Efron
- Siddhartha Chib
- Robert Tibshirani
- Gordon K. Smyth
Who trusts Michael A. Newton overall
- Bradley Efron
- Jiashun Jin
- Tommaso Cai
- Jiahua Chen
- Korbinian Strimmer
- Yong Wang
- Wenguang Sun
- Ery Arias-Castro
- Gordon K. Smyth
- Greg Ridgeway
Papers from Michael A. Newton's perspective
Ordered by how strongly the researchers Michael A. Newton trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
- On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)
- Microarrays and Their Use in a Comparative Experiment
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. (Proceedings of the National Academy of Sciences of the United States of America)
- Estimating normal means with a conjugate style dirichlet process prior
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- A direct approach to false discovery rates
Their papers
- On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (2001) — 810 citations
- On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles (2003) — 396 citations
- Detecting differential gene expression with a semiparametric hierarchical mixture method. (2004) — 645 citations
- Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis (2008) — 722 citations
- Multiple Hypothesis Testing by Clustering Treatment Effects (2007) — 53 citations
- Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity (2006) — 345 citations