Bayesian-Statistics-Econometrics
Basic-Statistics-With-Python
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10.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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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.
Basic-Statistics-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Basic Statistics with Python: These notes aim to refresh the essential concepts of frequentist statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand. We were spending roughly three hours in total to cover all sections.
What are some alternatives?
Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Time-Series-and-Financial-Engineering-With-Python - A series of lessons on time series analysis with Python
Econometrics-With-Python - Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
edward2 - A simple probabilistic programming language.