Bayesian cognitive modeling: a practical course
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge Univ. Press
2013
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 264 S. Ill., graph. Darst. |
| ISBN: | 9781107018457 9781107603578 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1804150634079846400 |
|---|---|
| adam_text | CONTENTS
PREFACE
ACKNOWLEDGEMENTS
PAGE X
XI
PART I GETTING STARTED
THE BASICS OF BAYESIAN ANALYSIS
1.1 GENERAL PRINCIPLES
1.2 PREDICTION
1.3 SEQUENTIAL UPDATING
1.4 MARKOV CHAIN MONTE CARLO
1.5 GOAL OF THIS BOOK
1.6 FURTHER READING-
GETTING STARTED WITH WINBUGS
2.1 INSTALLING WINBUGS, MATBUGS, R, AND R2WINBUGS
2.2 USING THE APPLICATIONS
2.3 ONLINE HELP, OTHER SOFTWARE, AND USEFUL URLS
3
3
5
6
7
II
13
16
16
17
32
PART II PARAMETER ESTIMATION
35
INFERENCES WITH BINOMIALS
3.1 INFERRING A RATE
3.2 DIFFERENCE BETWEEN TWO RATES
3.3 INFERRING A COMMON RATE
3.4 PRIOR AND POSTERIOR PREDICTION
3.5 POSTERIOR PREDICTION
3.6 JOINT DISTRIBUTIONS
37
37
39
43
45
47
49
INFERENCES WITH GAUSSIANS
4.1 INFERRING A MEAN AND STANDARD DEVIATION
4.2 THE SEVEN SCIENTISTS
4.3 REPEATED MEASUREMENT OF IQ
54
54
56
58
VI CONTENTS
SOME EXAMPLES OF DATA ANALYSIS 60
5.1 PEARSON CORRELATION 60
5.2 PEARSON CORRELATION WITH UNCERTAINTY 62
5.3 THE KAPPA COEFFICIENT OF AGREEMENT 65
5.4 CHANGE DETECTION IN TIME SERIES DATA 68
5.5 CENSORED DATA 70
5.6 RECAPTURING PLANES 73
LATENT-MIXTURE MODELS 77
6.1 EXAM SCORES 77
6.2 EXAM SCORES WITH INDIVIDUAL DIFFERENCES 79
6.3 TWENTY QUESTIONS 82
6.4 THE TWO-COUNTRY QUIZ 84
6.5 ASSESSMENT OF MALINGERING 88
6.6 INDIVIDUAL DIFFERENCES IN MALINGERING 90
6.7 ALZHEIMER S RECALL TEST CHEATING 93
PART III MODEL SELECTION 99
BAYESIAN MODEL COMPARISON 101
7.1 MARGINAL LIKELIHOOD 101
7.2 THE BAYES FACTOR 104
7.3 POSTERIOR MODEL PROBABILITIES 106
7.4 ADVANTAGES OF THE BAYESIAN APPROACH 107
7.5 CHALLENGES FOR THE BAYESIAN APPROACH 110
7.6 THE SAVAGE-DICKEY METHOD 113
7.7 DISCLAIMER AND SUMMARY 116
COMPARING GAUSSIAN MEANS 118
8.1 ONE-SAMPLE COMPARISON 119
8.2 ORDER-RESTRICTED ONE-SAMPLE COMPARISON 121
8.3 TWO-SAMPLE COMPARISON 124
COMPARING BINOMIAL RATES 127
9.1 EQUALITY OF PROPORTIONS 127
9.2 ORDER-RESTRICTED EQUALITY OF PROPORTIONS 129
9.3 COMPARING WITHIN-SUBJECT PROPORTIONS 132
9.4 COMPARING BETWEEN-SUBJECT PROPORTIONS 136
9.5 ORDER-RESTRICTED BETWEEN-SUBJECTS COMPARISON 139
CONTENTS
PART IV CASE STUDIES 143
10 MEMORY RETENTION 145
10.1 NO INDIVIDUAL DIFFERENCES 146
10.2 FULL INDIVIDUAL DIFFERENCES 149
10.3 STRUCTURED INDIVIDUAL DIFFERENCES 152
11 SIGNAL DETECTION THEORY 156
11.1 SIGNAL DETECTION THEORY 156
11.2 HIERARCHICAL SIGNAL DETECTION THEORY 161
11.3 PARAMETER EXPANSION 164
12 PSYCHOPHYSICAL FUNCTIONS 168
12.1 PSYCHOPHYSICAL FUNCTIONS 168
12.2 PSYCHOPHYSICAL FUNCTIONS UNDER CONTAMINATION 172
13 EXTRASENSORY PERCEPTION 176
13.1 EVIDENCE FOR OPTIONAL STOPPING 177
13.2 EVIDENCE FOR DIFFERENCES IN ABILITY 180
13.3 EVIDENCE FOR THE IMPACT OF EXTRAVERSION 184
14 MULTINOMIAL PROCESSING TREES 187
14.1 MULTINOMIAL PROCESSING MODEL OF PAIR-CLUSTERING 187
14.2 LATENT-TRAIT MPT MODEL 190
15 THE SIMPLE MODEL OF MEMORY 196
15.1 THE SIMPLE MODEL 196
15.2 A HIERARCHICAL EXTENSION OF SIMPLE 201
16 THE BART MODEL OF RISK TAKING 206
16.1 THE BART MODEL 207
16.2 A HIERARCHICAL EXTENSION OF THE BART MODEL 209
17 THE GCM MODEL OF CATEGORIZATION 212
17.1 THE GCM MODEL 212
17.2 INDIVIDUAL DIFFERENCES IN THE GCM 216
17.3 LATENT GROUPS IN THE GCM 218
18 HEURISTIC DECISION-MAKING 224
18.1 TAKE-THE-BEST 224
18.2 STOPPING 227
18.3 SEARCHING 230
18.4 SEARCHING AND STOPPING 234
CONTENTS
19 NUMBER CONCEPT DEVELOPMENT 237
19.1 KNOWER-LEVEL MODEL FOR GIVE-N 238
19.2 KNOWER-LEVEL MODEL FOR FAST-CARDS 245
19.3 KNOWER-LEVEL MODEL FOR GIVE-N AND FAST-CARDS 247
REFERENCES 252
INDEX 263
|
| any_adam_object | 1 |
| author | Lee, Michael D. 19XX- Wagenmakers, Eric-Jan 1972- |
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| author_sort | Lee, Michael D. 19XX- |
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| bvnumber | BV041205318 |
| classification_rvk | CM 4000 CP 4000 MR 2100 |
| ctrlnum | (OCoLC)881290764 (DE-599)OBVAC10753505 |
| discipline | Soziologie Psychologie |
| edition | 1. publ. |
| format | Book |
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| id | DE-604.BV041205318 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:42:02Z |
| institution | BVB |
| isbn | 9781107018457 9781107603578 |
| language | English |
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| spelling | Lee, Michael D. 19XX- Verfasser (DE-588)1059428504 aut Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers 1. publ. Cambridge Cambridge Univ. Press 2013 XIII, 264 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Kognitiver Prozess (DE-588)4140177-3 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Kognitiver Prozess (DE-588)4140177-3 s Mathematisches Modell (DE-588)4114528-8 s Bayes-Verfahren (DE-588)4204326-8 s DE-604 Wagenmakers, Eric-Jan 1972- Verfasser (DE-588)1059428679 aut Erscheint auch als Online-Ausgabe 978-1-139-08775-9 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026180115&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Lee, Michael D. 19XX- Wagenmakers, Eric-Jan 1972- Bayesian cognitive modeling a practical course Bayes-Verfahren (DE-588)4204326-8 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
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| title | Bayesian cognitive modeling a practical course |
| title_auth | Bayesian cognitive modeling a practical course |
| title_exact_search | Bayesian cognitive modeling a practical course |
| title_full | Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers |
| title_fullStr | Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers |
| title_full_unstemmed | Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers |
| title_short | Bayesian cognitive modeling |
| title_sort | bayesian cognitive modeling a practical course |
| title_sub | a practical course |
| topic | Bayes-Verfahren (DE-588)4204326-8 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Bayes-Verfahren Kognitiver Prozess Mathematisches Modell |
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