edward2
Bayesian-Statistics-Econometrics
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| edward2 | Bayesian-Statistics-Econometrics | |
|---|---|---|
| 1 | 1 | |
| 664 | 71 | |
| 1.1% | - | |
| 6.4 | 10.0 | |
| 5 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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edward2
Bayesian-Statistics-Econometrics
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Python for Econometrics for Practitioners [Free Online Courses]
Bayesian Statistics with Python: Bayesian statistics is the last pillar of quantitative framework, also the most challenging subject. The course will explore the algorithms of Markov chain Monte Carlo (MCMC), specifically Metropolis-Hastings, Gibbs Sampler and etc., we will build up our own toy model from crude Python functions. In the meanwhile, we will cover the PyMC3, which is a library for probabilistic programming specializing in Bayesian statistics.
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