widdowquinn / Teaching-Stan-Hierarchical-Modelling
Jupyter notebooks for teaching hierarchical Bayesian modelling with Stan
☆21Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Teaching-Stan-Hierarchical-Modelling
- Tutorial on multilevel modeling, using Gelman radon example☆55Updated 9 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- Generalized linear mixed-effect model in Python☆175Updated 6 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆47Updated 7 years ago
- Conventionally parameterized probability distributions☆35Updated 2 months ago
- ☆30Updated 7 years ago
- Central repository for my distributions figures☆16Updated 5 years ago
- Course materials for the SSI 2016 course "Intro to Data Science in Python"☆30Updated 8 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- ☆73Updated 6 years ago
- ☆32Updated 7 years ago
- Repository of my talk for Bayes@Lund 2017☆11Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- ☆15Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 5 years ago
- ☆27Updated 5 years ago
- Statistics lecture notes☆34Updated 8 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 5 months ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆17Updated last week
- ☆12Updated 8 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- Another library for defensive data analysis.☆29Updated 6 years ago
- This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…☆27Updated 9 years ago
- Some scikit-learn-esque wrappers for statsmodels GLM☆23Updated 11 years ago
- ☆37Updated 2 years ago