000			02399nam a22003858i 4500
001			CR9781139087759
005			20250919142050.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110517s2013||||enk o ||1 0|eng|d
020			_a9781139087759 (ebook)
020			_z9781107018457 (hardback)
020			_z9781107603578 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aBF311 _b.L38 2013
082	0	0	_a153.01519542 _223
100	1		_aLee, Michael D. _q(Michael David), _d1971- _eauthor.
245	1	0	_aBayesian cognitive modeling : _ba practical course / _cMichael D. Lee, Eric-Jan Wagenmakers.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xiii, 264 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aBayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
650		0	_aCognitive science _xMathematical models.
650		0	_aBayesian statistical decision theory.
700	1		_aWagenmakers, Eric-Jan, _eauthor.
776	0	8	_iPrint version: _z9781107018457
856	4	0	_uhttps://doi.org/10.1017/CBO9781139087759
907			_a.b1684743x _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b1684743x
999			_c652086 _d652086