fonnesbeck / bayes_tutorial_2019Links
Introductory overview of Bayesian inference
☆43Updated 6 years ago
Alternatives and similar repositories for bayes_tutorial_2019
Users that are interested in bayes_tutorial_2019 are comparing it to the libraries listed below
Sorting:
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 2 months ago
- ☆30Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- ☆38Updated 4 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 7 years ago
- Introduction to Python for Data Science☆39Updated 7 years ago
- ☆80Updated 9 years ago
- Statistical Rethinking with PyTorch and Pyro☆164Updated 5 months ago
- Data Processing Advanced: a course on scientific computing with Numpy/Scipy☆22Updated 8 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- ☆90Updated 4 years ago
- ☆73Updated 7 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Inference case studies in jupyter☆93Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago