NumPyro documentation
API and Developer Reference
Introductory Tutorials
Bayesian Regression Using NumPyro
Bayesian Hierarchical Linear Regression
Example: Baseball Batting Average
Example: Variational Autoencoder
Example: Neal’s Funnel
Example: Stochastic Volatility
Example: ProdLDA with Flax and Haiku
Variationally Inferred Parameterization
Automatic rendering of NumPyro models
Bad posterior geometry and how to deal with it
Truncated and folded distributions
Bayesian Censoring Data Modeling
Hilbert Space Approximation Gaussian Process Module
NumPyro Integration with Other Libraries
Discrete Latent Variables
Gaussian Mixture Model
Example: Toy Mixture Model with Discrete Enumeration
Example: Bayesian Models of Annotation
Example: Enumerate Hidden Markov Model
Example: CJS Capture-Recapture Model for Ecological Data
Example: Nested Sampling for Gaussian Shells
Bayesian Imputation for Missing Values in Discrete Covariates
Applications
Time Series Forecasting
Ordinal Regression
Bayesian Imputation
Example: Gaussian Process
Example: Bayesian Neural Network
Example: AutoDAIS
Example: Sparse Regression
Example: Horseshoe Regression
Example: Proportion Test
Example: Generalized Linear Mixed Models
Example: Hidden Markov Model
Example: Hilbert space approximation for Gaussian processes.
Example: Hilbert space approximation for Gaussian processes (multidimensional)
Example: Predator-Prey Model
Solving differential equations (ODEs) for multiple initial conditions.
Example: Neural Transport
Example: Thompson sampling for Bayesian Optimization with GPs
Bayesian Hierarchical Stacking: Well Switching Case Study
Example: Sine-skewed sine (bivariate von Mises) mixture
Example: AR2 process
Example: Holt-Winters Exponential Smoothing
Example: Modelling mortality over space and time
Example: Zero-Inflated Poisson regression model
Example: Conditional Variational Autoencoder in Flax
Text-Based Ideal Points using NumPyro
