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, ...
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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.
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Add this copy of Large-Scale Inference: Empirical Bayes Methods for to cart. £29.97, fair condition, Sold by Goodwill Indust. of San Diego rated 5.0 out of 5 stars, ships from San Diego, CA, UNITED STATES, published 2012 by Cambridge University Press.
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Good. The book is nice and 100% readable, but the book has visible wear which may include stains, scuffs, scratches, folded edges, sticker glue, torn on front page, highlighting, notes, and worn corners.
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Add this copy of Large-Scale Inference: Empirical Bayes Methods for to cart. £44.12, like new condition, Sold by Bear Pond Books rated 3.0 out of 5 stars, ships from Montpelier, VT, UNITED STATES, published 2010 by Cambridge University Press.
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Fine. Trade paperback (US). Contains: Line drawings, color, Line drawings, Unspecified. Institute of Mathematical Statistics Monographs . 65 b/w illus. 10 colour illus. 105 exercises. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Fine. Trade paperback (US). Contains: Line drawings, color, Line drawings, Unspecified. Institute of Mathematical Statistics Monographs . 65 b/w illus. 10 colour illus. 105 exercises. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Large-Scale Inference: Empirical Bayes Methods for to cart. £52.62, very good condition, Sold by Greener Books rated 4.0 out of 5 stars, ships from London, UNITED KINGDOM, published 2010 by Cambridge University Press.
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Very Good. No DJ Issued. Probability & Statistics. 8vo. 1st Edition (2010. ) Hardcover without dust jacket issued. 8vo with 263 pages. The book is in very good condition very slight shelf wear. Interior clean and tight, No markings. No online access or CD-ROM or digital access codes if applicable! "I recommend that you read the book to understand the tests in more detail as well as the applications. 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." Dark blue spine/White text.
