000			02324nam a22003377a 4500
001			sulb-eb0015713
003			BD-SySUS
005			20160405134442.0
008			100506s2010||||enk o ||1 0|eng|d
020			_a9780511761362 (ebook)
020			_z9780521192491 (hardback)
020			_z9781107619678 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA279.5 _b.E39 2010
082	0	0	_a519.542 _222
100	1		_aEfron, Bradley, _eauthor.
245	1	0	_aLarge-Scale Inference : _bEmpirical Bayes Methods for Estimation, Testing, and Prediction / _cBradley Efron.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (276 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aInstitute of Mathematical Statistics Monographs ; _v1
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aWe 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.
650		0	_aBayesian statistical decision theory
776	0	8	_iPrint version: _z9780521192491
830		0	_aInstitute of Mathematical Statistics Monographs ; _v1.
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511761362
942			_2Dewey Decimal Classification _ceBooks
999			_c37557 _d37557