000 | 03678nam a22005655i 4500 | ||
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001 | 978-3-319-72425-6 | ||
003 | DE-He213 | ||
005 | 20210201191335.0 | ||
007 | cr nn 008mamaa | ||
008 | 180207s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319724256 _9978-3-319-72425-6 |
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050 | 4 | _aBF201 | |
072 | 7 |
_aJMR _2bicssc |
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072 | 7 |
_aPSY008000 _2bisacsh |
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072 | 7 |
_aJMR _2thema |
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082 | 0 | 4 |
_a153 _223 |
100 | 1 |
_aPalestro, James J. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aLikelihood-Free Methods for Cognitive Science _h[electronic resource] / _cby James J. Palestro, Per B. Sederberg, Adam F. Osth, Trisha Van Zandt, Brandon M. Turner. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXIV, 129 p. 27 illus., 7 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aComputational Approaches to Cognition and Perception, _x2510-1889 |
|
500 | _aAcceso multiusuario | ||
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. . | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aCognitive psychology. | |
650 | 1 | 4 |
_aCognitive Psychology. _0https://scigraph.springernature.com/ontologies/product-market-codes/Y20060 |
700 | 1 |
_aSederberg, Per B. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aOsth, Adam F. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aVan Zandt, Trisha. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aTurner, Brandon M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319724249 |
776 | 0 | 8 |
_iPrinted edition: _z9783319724263 |
776 | 0 | 8 |
_iPrinted edition: _z9783319891811 |
830 | 0 |
_aComputational Approaches to Cognition and Perception, _x2510-1889 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-72425-6 |
912 | _aZDB-2-BSP | ||
912 | _aZDB-2-SXBP | ||
942 | _cLIBRO_ELEC | ||
999 |
_c242338 _d242337 |