Statistical rethinking: a Bayesian course with examples in R and Stan
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2020
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Texts in statistical science series
[122] |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xvii, 593 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367139919 |
Internformat
MARC
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| 100 | 1 | |a McElreath, Richard |d 1973- |e Verfasser |0 (DE-588)131816780 |4 aut | |
| 245 | 1 | 0 | |a Statistical rethinking |b a Bayesian course with examples in R and Stan |c Richard McElreath |
| 250 | |a Second edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2020 | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Preface to the Second Edition
Preface
Audience
Teaching strategy
How to use this book
Installing the rethinking R package
Acknowledgments
Chapter 1 The Golem of Prague
1 1 Statistical golems
1 2 Statistical rethinking
1 3 Tools for golem engineering
1 4 Summary
Chapter 2 Small Worlds and Large Worlds
2 1 The garden of forking data
2 2 Building a model
2 3 Components of the model
2 4 Making the model go
2 5 Summary
2 6 Practice
Chapter 3 Sampling the Imaginary
3 1 Sampling from a grid-approximate posterior
3 2 Sampling to summarize
3 3 Sampling to simulate prediction
3 4 Summary
3 5 Practice
Chapter 4 Geocentric Models
4 1 Why normal distributions are normal
4,2 A language for describing models
4 3 Gaussian model of height
4 4, Linear prediction
4 5 Curves from lines
4 6 Summary
4 7 Practice
Chapter 5 The Many Variables amp; The Spurious Waffles
5 1 Spurious association
5 2 Masked relationship
a
3 3 BB ee
it
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Aw © OC
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NN
DRAAN MN
oo m WN O
vi CONTENTS
5 3 Categorical variables 153
5 4 Summary 158
5 5 Practice 159
Chapter 6 The Haunted DAG amp; The Causal Terror 161
6 1 Multicollinearity 163
6 2 Post-treatment bias 170
6 3 Collider bias 176
6 4 Confronting confounding 183
6 5 Summary 189
6 6 Practice 189
Chapter 7 Ulysses’ Compass 191
7 1 The problem with parameters 193
7 2 Entropy and accuracy 202
7 3 Golem taming: regularization 214
7 4 Predicting predictive accuracy 217
7 5 Model comparison 225
7,6 Summary 235
7 7 Practice 235
Chapter 8 Conditional Manatees 237
8 1 Building an interaction 239
8 2 Symmetry of interactions 250
8 3 Continuous interactions 252
84 Summary 260
8 5 Practice 260
Chapter 9 Markov Chain Monte Carlo 263
9 1 Good King Markov and his island kingdom 264
9 2 Metropolis algorithms 267
9 3 Hamiltonian Monte Carlo 270
9 4 Easy HMC: ulam 279
9 5 Care and feeding of your Markov chain 287
9 6 Summary 296
9 7 Practice 296
Chapter 10 Big Entropy and the Generalized Linear Model 299
10 1 Maximum entropy 300
10 2 Generalized linear models 312
10 3 Maximum entropy priors 321
10 4 Summary 321
Chapter 11 God Spiked the Integers 323
11 1 Binomial regression 324
11 2 Poisson regression 345
11 3 Multinomial and categorical models 359
11 4 Summary 365
11 5 Practice 366
Chapter 12 Monsters and Mixtures 369
12 1 Over-dispersed counts 369
12 2 Zero-inflated outcomes 376
CONTENTS vii
12 3 Ordered categorical outcomes 380
12 4 Ordered categorical predictors 391
12 5 Summary 397
12 6 Practice 397
Chapter 13 Models With Memory 399
13 1 Example: Multilevel tadpoles 401
13 2 Varying effects and the underfitting/overfitting trade-off 408
13 3 More than one type of cluster 415
13 4 Divergent transitions and non-centered priors 420
13 5 Multilevel posterior predictions 426
13 6 Summary 431
13 7 Practice 431
Chapter 14 Adventures in Covariance 435
14 1 Varying slopes by construction 437
14 2 Advanced varying slopes 447
14 3 Instruments and causal designs 455
14 4 Social relations as correlated varying effects 462
14 5 Continuous categories and the Gaussian process 467
14 6 Summary 485
14 7 Practice 485
Chapter 15 Missing Data and Other Opportunities 489
15 1 Measurement error 491
15 2 Missing data 499
15 3 Categorical errors and discrete absences 516
15 4 Summary 521
15 5 Practice 521
Chapter 16 Generalized Linear Madness 525
16 1 Geometric people 526
16 2 Hidden minds and observed behavior 531
16 3 Ordinary differential nut cracking 536
16 4 Population dynamics 541
16 5 Summary 550
16 6 Practice 550
Chapter 17 Horoscopes 553
Endnotes 557
Bibliography 573
Citation index 585
Topic index 589
|
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| discipline | Sprachwissenschaft Informatik Soziologie Psychologie Mathematik Literaturwissenschaft |
| edition | Second edition |
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| isbn | 9780367139919 |
| language | English |
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| physical | xvii, 593 Seiten Illustrationen, Diagramme |
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| series2 | Texts in statistical science series A Chapman & Hall book |
| spelling | McElreath, Richard 1973- Verfasser (DE-588)131816780 aut Statistical rethinking a Bayesian course with examples in R and Stan Richard McElreath Second edition Boca Raton ; London ; New York CRC Press 2020 xvii, 593 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Texts in statistical science series [122] A Chapman & Hall book Bayesian statistical decision theory R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 s Statistisches Modell (DE-588)4121722-6 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe 978-0-429-02960-8 Texts in statistical science series [122] (DE-604)BV022819715 122 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031841747&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | McElreath, Richard 1973- Statistical rethinking a Bayesian course with examples in R and Stan Texts in statistical science series Bayesian statistical decision theory R (Computer program language) R Programm (DE-588)4705956-4 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Statistisches Modell (DE-588)4121722-6 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4144220-9 (DE-588)4121722-6 |
| title | Statistical rethinking a Bayesian course with examples in R and Stan |
| title_auth | Statistical rethinking a Bayesian course with examples in R and Stan |
| title_exact_search | Statistical rethinking a Bayesian course with examples in R and Stan |
| title_full | Statistical rethinking a Bayesian course with examples in R and Stan Richard McElreath |
| title_fullStr | Statistical rethinking a Bayesian course with examples in R and Stan Richard McElreath |
| title_full_unstemmed | Statistical rethinking a Bayesian course with examples in R and Stan Richard McElreath |
| title_short | Statistical rethinking |
| title_sort | statistical rethinking a bayesian course with examples in r and stan |
| title_sub | a Bayesian course with examples in R and Stan |
| topic | Bayesian statistical decision theory R (Computer program language) R Programm (DE-588)4705956-4 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Statistisches Modell (DE-588)4121722-6 gnd |
| topic_facet | Bayesian statistical decision theory R (Computer program language) R Programm Bayes-Entscheidungstheorie Statistisches Modell |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031841747&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV022819715 |
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