A. Chakrabarti
Statistics and Probability · with Ghosh · 2010–2013
A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 59 citations into it; #11,468 of 12,932 by trust here, #8,279 by citations
- Artificial Intelligence — 18 citations into it
- Management Science and Operations Research — 17 citations into it
- Molecular Biology — 12 citations into it
- Control and Systems Engineering — 5 citations into it
Whom A. Chakrabarti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Storey
- David L. Donoho
- Jiashun Jin
- Tommaso Cai
- Yoav Benjamini
- James G. Scott
- Bradley Efron
- Christopher R. Genovese
- Robert Tibshirani
- Malgorzata Bogdan
Who trusts A. Chakrabarti overall
Papers from A. Chakrabarti's perspective
Ordered by how strongly the researchers A. Chakrabarti trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Operating characteristics and extensions of the false discovery rate procedure
- An improved Bonferroni procedure for multiple tests of significance
- Empirical Bayes Analysis of a Microarray Experiment
- The positive false discovery rate: a Bayesian interpretation and the q-value
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Asymptotic Minimaxity Of False Discovery Rate Thresholding For Sparse Exponential Data
- A stochastic process approach to false discovery control
- The optimal discovery procedure: a new approach to simultaneous significance testing
- A direct approach to false discovery rates
Their papers
- Asymptotic Properties of Bayes Risk of a General Class of Shrinkage Priors in Multiple Hypothesis Testing Under Sparsity (2013) — 60 citations
- The Bayes oracle and asymptotic optimality of multiple testing procedures under sparsity (2010) — 86 citations
- AIC, BIC and Recent Advances in Model Selection (2011) — 308 citations