Large-Scale Inference Book Reviews

Large-Scale Inference by Bradley Efron Book Summary

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 for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.

👋 Do you love Large-Scale Inference books? Please share your friends!

Large-Scale Inference (Bradley Efron) Book Reviews 2024

Bradley Efron - Large-Scale Inference Discussions & Comments

Have you read this book yet? What do you think about Large-Scale Inference by Bradley Efron book? Ask the bookpedia.co community a question about Large-Scale Inference!