The future of indirect evidence
From MaRDI portal
Publication:903283
DOI10.1214/09-STS308zbMath1328.62043arXiv1012.1161WikidataQ39792822 ScholiaQ39792822MaRDI QIDQ903283
Publication date: 5 January 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1012.1161
statistical learningeffect sizefalse discovery ratesJames-SteinBayesian and frequentistBenjamini-Hochbergexperience of others
Bayesian inference (62F15) Development of contemporary mathematics (01A65) History of statistics (62-03) Paired and multiple comparisons; multiple testing (62J15) Foundational topics in statistics (62A99)
Related Items
Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches, A note on the comparison of the Bayesian and frequentist approaches to estimation, Confidence distributions and related themes, Bayes multiple decision functions, Large-scale multiple hypothesis testing with the normal-beta prime prior, Smaller $p$-values via indirect information, Emerging topics and challenges for statistical analysis and data mining, A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons
Cites Work
- Microarrays, empirical Bayes and the two-groups model
- Robbins, empirical Bayes and microarrays
- Simultaneous inference: when should hypothesis testing problems be combined?
- Empirical Bayes Estimates for Large-Scale Prediction Problems
- Large-Scale Simultaneous Hypothesis Testing
- Admissible Estimators, Recurrent Diffusions, and Insoluble Boundary Value Problems
- False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters
- R. A. Fisher in the 21st century. Invited paper presented at the 1996 R. A. Fisher lecture. (With comments).
- Unnamed Item
- Unnamed Item
- Unnamed Item
