000 02442nam a22003978i 4500
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008 170308s2014||||enk o ||1 0|eng|d
020 _a9781139087759 (ebook)
020 _z9781107018457 (hardback)
020 _z9781107603578 (paperback)
035 _a(UkCbUP)CR9781139087759
039 9 _y03-08-2017
_zhafiz
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aBF311
_b.L38 2013
082 0 0 _a153.01519542
_223
100 1 _aLee, Michael D.,
_eauthor.
245 1 0 _aBayesian Cognitive Modeling :
_bA Practical Course /
_cMichael D. Lee, Eric-Jan Wagenmakers.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (280 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 07 Mar 2017).
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 _aBayesian statistical decision theory
700 1 _aWagenmakers, Eric-Jan,
_eauthor.
776 0 8 _iPrint version:
_z9781107018457
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781139087759
907 _a.b16442179
_b2022-10-13
_c2019-11-12
942 _n0
914 _avtls003618544
998 _anone
_b2017-08-03
_cm
_da
_feng
_genk
_y0
_z.b16442179
999 _c617433
_d617433