Large-Scale Inference
Empirical Bayes Methods for Estimation, Testing, and Prediction
Ranked #82 in Machine Learning
We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing, and prediction blend in this framework, producing opportunities... more
Similar Books
If you like Large-Scale Inference, check out these similar top-rated books:
