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Bayesian cognitive modeling : a practical course

Bayesian cognitive modeling : a practical course (Loan 4 times)

Material type
단행본
Personal Author
Lee, Michael D. (Michael David), 1971-. Wagenmakers, Eric-Jan.
Title Statement
Bayesian cognitive modeling : a practical course / Michael D. Lee, Eric-Jan Wagenmakers.
Publication, Distribution, etc
Cambridge ;   New York :   Cambridge University Press,   2013.  
Physical Medium
xiii, 264 p. : ill. ; 25 cm.
ISBN
9781107018457 (hbk.) 1107018455 (hbk.) 9781107603578 (pbk.) 1107603579 (pbk.)
Bibliography, Etc. Note
Includes bibliographical references (p. 252-262) and index.
Subject Added Entry-Topical Term
Cognitive science --Mathematical models. Bayesian statistical decision theory.
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020 ▼a 9781107018457 (hbk.)
020 ▼a 1107018455 (hbk.)
020 ▼a 9781107603578 (pbk.)
020 ▼a 1107603579 (pbk.)
035 ▼a (KERIS)REF000017508603
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082 0 4 ▼a 153.01519542 ▼2 23
084 ▼a 153.0151 ▼2 DDCK
090 ▼a 153.0151 ▼b L479b
100 1 ▼a Lee, Michael D. ▼q (Michael David), ▼d 1971-.
245 1 0 ▼a Bayesian cognitive modeling : ▼b a practical course / ▼c Michael D. Lee, Eric-Jan Wagenmakers.
260 ▼a Cambridge ; ▼a New York : ▼b Cambridge University Press, ▼c 2013.
300 ▼a xiii, 264 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references (p. 252-262) and index.
650 0 ▼a Cognitive science ▼x Mathematical models.
650 0 ▼a Bayesian statistical decision theory.
700 1 ▼a Wagenmakers, Eric-Jan.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 153.0151 L479b Accession No. 111752309 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Part I. Getting Started: 1. The basics of Bayesian analysis; 2. Getting started with WinBUGS; Part II. Parameter Estimation: 3. Inferences with binomials; 4. Inferences with Gaussians; 5. Some examples of data analysis; 6. Latent mixture models; Part III. Model Selection: 7. Bayesian model comparison; 8. Comparing Gaussian means; 9. Comparing binomial rates; Part IV. Case Studies: 10. Memory retention; 11. Signal detection theory; 12. Psychophysical functions; 13. Extrasensory perception; 14. Multinomial processing trees; 15. The SIMPLE model of memory; 16. The BART model of risk taking; 17. The GCM model of categorization; 18. Heuristic decision-making; 19. Number concept development.


Information Provided By: : Aladin

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