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"An introduction to constructing and reasoning with Bayesian (probabilistic) models of perceptual decision making and action, modeling how the brain perceives and decides"--
"An introduction to constructing and reasoning with Bayesian (probabilistic) models of perceptual decision making and action, modeling how the brain perceives and decides"--
Über den Autor
Wei Ji Ma, Konrad Paul Kording, and Daniel Goldreich
Inhaltsverzeichnis
Acknowledgments xv
The Four Steps of Bayesian Modeling xvii
List of Acronyms xix
Introduction 1
1 Uncertainty and Inference 7
2 Using Bayes' Rule 31
3 Bayesian Inference under Measurement Noise 53
4 The Response Distribution 83
5 Cue Combination and Evidence Accumulation 105
6 Learning as Inference 125
7 Discrimination and Detection 147
8 Binary Classification 169
9 Top-Level Nuisance Variables and Ambiguity 191
10 Same-Different Judgment 205
11 Search 227
12 Inference in a Changing World 245
13 Combining Inference with Utility 257
14 The Neural Likelihood Function 281
15 Bayesian Models in Context 301
Appendices 311
A Notation 313
B Basics of Probability Theory 315
C Model Fitting and Model Comparison 343
Bibliography 361
Index 371
The Four Steps of Bayesian Modeling xvii
List of Acronyms xix
Introduction 1
1 Uncertainty and Inference 7
2 Using Bayes' Rule 31
3 Bayesian Inference under Measurement Noise 53
4 The Response Distribution 83
5 Cue Combination and Evidence Accumulation 105
6 Learning as Inference 125
7 Discrimination and Detection 147
8 Binary Classification 169
9 Top-Level Nuisance Variables and Ambiguity 191
10 Same-Different Judgment 205
11 Search 227
12 Inference in a Changing World 245
13 Combining Inference with Utility 257
14 The Neural Likelihood Function 281
15 Bayesian Models in Context 301
Appendices 311
A Notation 313
B Basics of Probability Theory 315
C Model Fitting and Model Comparison 343
Bibliography 361
Index 371
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Grundlagen (Methodik & Statistik) |
Genre: | Psychologie |
Rubrik: | Geisteswissenschaften |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262047593 |
ISBN-10: | 0262047594 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Kording, Konrad Paul
Ma, Wei Ji |
Hersteller: | MIT Press Ltd |
Maße: | 261 x 209 x 29 mm |
Von/Mit: | Konrad Paul Kording (u. a.) |
Erscheinungsdatum: | 08.08.2023 |
Gewicht: | 1,028 kg |
Über den Autor
Wei Ji Ma, Konrad Paul Kording, and Daniel Goldreich
Inhaltsverzeichnis
Acknowledgments xv
The Four Steps of Bayesian Modeling xvii
List of Acronyms xix
Introduction 1
1 Uncertainty and Inference 7
2 Using Bayes' Rule 31
3 Bayesian Inference under Measurement Noise 53
4 The Response Distribution 83
5 Cue Combination and Evidence Accumulation 105
6 Learning as Inference 125
7 Discrimination and Detection 147
8 Binary Classification 169
9 Top-Level Nuisance Variables and Ambiguity 191
10 Same-Different Judgment 205
11 Search 227
12 Inference in a Changing World 245
13 Combining Inference with Utility 257
14 The Neural Likelihood Function 281
15 Bayesian Models in Context 301
Appendices 311
A Notation 313
B Basics of Probability Theory 315
C Model Fitting and Model Comparison 343
Bibliography 361
Index 371
The Four Steps of Bayesian Modeling xvii
List of Acronyms xix
Introduction 1
1 Uncertainty and Inference 7
2 Using Bayes' Rule 31
3 Bayesian Inference under Measurement Noise 53
4 The Response Distribution 83
5 Cue Combination and Evidence Accumulation 105
6 Learning as Inference 125
7 Discrimination and Detection 147
8 Binary Classification 169
9 Top-Level Nuisance Variables and Ambiguity 191
10 Same-Different Judgment 205
11 Search 227
12 Inference in a Changing World 245
13 Combining Inference with Utility 257
14 The Neural Likelihood Function 281
15 Bayesian Models in Context 301
Appendices 311
A Notation 313
B Basics of Probability Theory 315
C Model Fitting and Model Comparison 343
Bibliography 361
Index 371
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Grundlagen (Methodik & Statistik) |
Genre: | Psychologie |
Rubrik: | Geisteswissenschaften |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262047593 |
ISBN-10: | 0262047594 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Kording, Konrad Paul
Ma, Wei Ji |
Hersteller: | MIT Press Ltd |
Maße: | 261 x 209 x 29 mm |
Von/Mit: | Konrad Paul Kording (u. a.) |
Erscheinungsdatum: | 08.08.2023 |
Gewicht: | 1,028 kg |
Warnhinweis