junpenglao / Bayesian_Smoothing_EyeMovementLinks
Repository of my talk for Bayes@Lund 2017
☆10Updated 7 years ago
Alternatives and similar repositories for Bayesian_Smoothing_EyeMovement
Users that are interested in Bayesian_Smoothing_EyeMovement are comparing it to the libraries listed below
Sorting:
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Generalized linear mixed-effect model in Python☆182Updated 7 years ago
- ☆73Updated 7 years ago
- Python solver for mixed-effects models☆97Updated 3 months ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Bayesian estimation supersedes the t test☆145Updated 3 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- python convenience functions for working with Stan models (via pystan)☆13Updated 7 years ago
- Educational resources☆104Updated 3 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Stan models for state space time series☆145Updated 8 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- ☆41Updated 7 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Decorator for PyMC3☆50Updated 4 years ago
- Generalized Linear Models in Sklearn Style☆129Updated 5 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Conventionally parameterized probability distributions☆35Updated 11 months ago
- Basic time series modeling with Stan and Pystan☆33Updated 8 years ago
- Tool for exploring probability distributions.☆24Updated 8 months ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- ☆31Updated 9 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆267Updated last year
- A collection of IPython Notebooks containing my research.☆20Updated 7 years ago