| 000 | 03595nam a22004695i 4500 | ||
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| 999 |
_c119736 _d119736 _x1 |
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| 001 | 119736 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114005.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 180207s2018 gw | o |||| 0|eng d | ||
| 020 | _a9783319724256 | ||
| 024 | 7 |
_a10.1007/978-3-319-72425-6 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aBF311 _b2018 EB |
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| 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 |
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| 300 |
_a1 recurso en línea (XIV, 129 páginas) _b27 ilustraciones, 7 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 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 |
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| 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 |
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| 998 |
_b05/2020 _dz _eo _zSI |
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