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Examples gallery
Linear regression models
Comparison of two means
With a t-test
Multiple linear regression
Personality dimensions
Regression splines
Cherry blossoms
Hierarchical linear regression
Pigs growth
Hierarchical linear regression
Sleep deprivation
Hierarchical linear regression
Radon contamination
Bayesian workflow
Strack RRR analysis replication
Bayesian workflow
Police officer's dilemma
Robust linear regression
With the Student's T distribution
Predict new groups
With Hierarchical models
Polynomial regression
Learning gravity with Bayesian stats
Generalized Linear Models
Logistic regression
Model vote intention
Logistic regression
Model comparison with ArviZ
Hierarchical logistic regression
With the Binomial family
Regression for binary responses
Alternative link functions
Wald and Gamma regression
Australian insurance claims
Negative Binomial regression
Students absence
Count Regression with Variable Exposure
Accounting for varying exposure using offsets
Beta regression
With many datasets
Categorical outcomes
When the outcome is not a number
Circular regression
For directional statistics
Quantile regression
Model a percentile
MrP (Multilevel Regression and Post-stratification)
Survey Data and Representative Sampling
Zero inflated models
When the outcome is mostly zeros and or is overdispersed
Ordinal regression
Model ordered category outcomes
More advanced models
Distributional models
Many parameters simultaneously
Gaussian processes
In one dimension
Gaussian processes
In multiple dimensions
Survival models
Model censored data
Orthogonal Polynomial regression
Polynomials that avoid multicollinearity
Tools to interpret model outputs
Predictions
Compute and plot predictions on new data
Comparisons
Compare outputs between groups
Slopes
Determine how the response changes
Advanced interpret usage
Create data grids and compute complex quantities of interest
Alternative sampling backends
Using other samplers
JAX based samplers
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Comparison of two means (T-test)