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020 _a9783319724256
024 7 _a10.1007/978-3-319-72425-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aBF311
_b2018 EB
100 1 _aPalestro, James J.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/19152986683312672645
_9673744
245 1 0 _aLikelihood-Free Methods for Cognitive Science /
_cJames J. Palestro, Per B. Sederberg, Adam F. Osth, Trisha Van Zandt, Brandon M. Turner.
250 _aFirst edition 2018
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XIV, 129 páginas)
_b27 ilustraciones, 7 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aComputational Approaches to Cognition and Perception
_x2510-1889
490 0 _aBehavioral Science and Psychology (Springer-41168)
505 0 _aChapter 1. Motivation -- Chapter 2. Likelihood-Free Algorithms -- Chapter 3. A Tutorial -- Chapter 4. Validations -- Chapter 5. Applications -- Chapter 6. Conclusions -- Chapter 7. Distributions.
520 _aThis book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science. .
988 _aSpringer_Psychology_2018
650 7 _aCiencia cognitiva
_xMetodología
_2embne
_9406963
700 1 _aSederberg, Per B.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/5152259579716982927
_9674082
700 1 _aOsth, Adam F.,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9674075
_d1985-
700 1 _aVan Zandt, Trisha
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n93022372
_1http://viaf.org/viaf/91625038
700 1 _aTurner, Brandon M.,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9674073
_d1985-
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
776 0 8 _iPrinted edition:
_z9783319724249
776 0 8 _iPrinted edition:
_z9783319724263
776 0 8 _iPrinted edition:
_z9783319891811
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-72425-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_eo
_zSI