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https://github.com/petrushev/statistical-rethinking
Solutions to some of the problems in "Statistical Rethinking"
https://github.com/petrushev/statistical-rethinking
bayesian-statistics ipynb learning pymc pymc3 python statistics
Last synced: 3 months ago
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Solutions to some of the problems in "Statistical Rethinking"
- Host: GitHub
- URL: https://github.com/petrushev/statistical-rethinking
- Owner: petrushev
- License: gpl-3.0
- Created: 2018-12-17T19:41:51.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-11-10T00:38:54.000Z (about 4 years ago)
- Last Synced: 2024-09-27T23:41:06.873Z (4 months ago)
- Topics: bayesian-statistics, ipynb, learning, pymc, pymc3, python, statistics
- Language: Jupyter Notebook
- Size: 4.13 MB
- Stars: 7
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# statistical-rethinking
Solutions to some of the problems in "Statistical Rethinking"
Make sure you have all the [requirements](requirements.txt) installed.
### Table of contents
#### Chapter 3: Sampling
- [3H - hard problems 1, 2, 3, 4, 5](03%20Chapter%203/01%20H1%2C2%2C3%2C4%2C5.ipynb)
#### Chapter 4: Linear models
- [4H - hard problems 1, 2, 3](04%20Chapter%204/01%20H1%2C2%2C3.ipynb)
#### Chapter 5: Multivariate linear models
- [5H - hard problems 1, 3, 3](05%20Chapter%205/01%20H1%2C2%2C3.ipynb)
#### Chapter 6: Overfitting, Regularization, Information criteria
- [6H - hard problems](06%20Chapter%206/01%20H1%2C2%2C3.ipynb)
#### Chapter 7: Interactions
- [Wines dataset](07%20Chapter%207/01%20Wines%20and%20Judges.ipynb)
#### Chapter 8: MCMC
- [8H - hard problems 1, 2, 3](08%20Chapter%208/01%20H1%2C2%2C3.ipynb)
#### Chapter 10: Counting and Classification
- [Prosocial chimpanzees, H2](10%20Chapter%2010/01%20Prosocial%20chimpanzees%2C%20H2.ipynb)
- [UC Berkeley admissions](10%20Chapter%2010/02%20Graduate%20school%20admissions.ipynb)
- [Oceanic islands tools](10%20Chapter%2010/03%20Oceanic%20tool%20complexity.ipynb)
- [H3](10%20Chapter%2010/04%20H3.ipynb)
- [H4](10%20Chapter%2010/05%20H4.ipynb)#### Chapter 11: Special and Mixture Distributions
- [Ordered logistic regression, ordered categorical predictors](11%20Chapter%2011/01%20Ordered%20logistic%20regression.ipynb)
- [Over-dispersed outcomes](11%20Chapter%2011/02%20Over-dispersed%20outcomes.ipynb)
- [H: 1,2,3,4](11%20Chapter%2011/03%20H1%2C%202%2C%203%2C%204.ipynb)
- [H5](11%20Chapter%2011/04%20H5.ipynb)
- [H6](11%20Chapter%2011/05%20H6.ipynb)#### Chapter 12: Multilevel Models
- [Varying intercepts, M1](12%20Chapter%2012/01%20Varying%20intercepts%2C%20M1.ipynb)
- [H1](12%20Chapter%2012/02%20H1.ipynb)
- [H: 2, 3](12%20Chapter%2012/03%20H2%2C%203.ipynb)
- [Bangladesh Fertility Survey - complete model](12%20Chapter%2012/04%20Bangladesh%20Fertility%20Survey.ipynb)#### Chapter 13: Covariate multilevel inference and Gausian processes
- [Covariate intercepts and slopes, M3](13%20Chapter%2013/01%20Covariate%20intercepts%20and%20slopes%2C%20M3.ipynb)
- [Oceanic tools - auto-correlation model](13%20Chapter%2013/03%20Oceanic%20tools%2C%20auto-correlation%20with%20distance.ipynb)
- [H1](13%20Chapter%2013/04%20H1.ipynb)
- [H2](13%20Chapter%2013/05%20H2.ipynb)