Bayesian workflow with TFP and arviz
Table of Contents
1. Setup
2. Model
3. Data
4. Prior predictive check
5. Inference
6. Posterior analysis
7. Predicting on new data
8. Conclusion
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almost always auto (batched)
Table of Contents
1. Data
2. Model
3. Two ways to write the model in code
4. Do we get the same log-probabilities?
5. Do we get the same speeds?
6. Conclusion
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sample all the distributions
Table of Contents
1. Setup
2. Model definition
3. Sampling the prior predictive distribution
4. Run MCMC
5. Sampling the posterior predictive distribution
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The ordered logistic distribution
Table of Contents
1. Setup
2. Data
3. TFP
4. Stan
5. Posterior predictive check
6. Conclusion
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Maximum likelihood estimation with tensorflow probability and stan take 2
After a previous post there has been some discussion on the stan forums so I thought I
would have another bash at seeing how fast I can make tensorflow and stan find maximum
likelihood estimates for a fairly large problem.
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