API and Developer Reference
Introductory Tutorials
Discrete Latent Variables
Applications
Introductory Tutorials¶
Bayesian Regression Using NumPyro
Bayesian Hierarchical Linear Regression
Example: Baseball Batting Average
Example: Variational Autoencoder
Example: Neal’s Funnel
Example: Stochastic Volatility
Discrete Latent Variables¶
Example: Bayesian Models of Annotation
Example: Enumerate Hidden Markov Model
Example: CJS Capture-Recapture Model for Ecological Data
Bayesian Imputation for Missing Values in Discrete Covariates
Applications¶
Time Series Forecasting
Ordinal Regression
Bayesian Imputation
Example: Gaussian Process
Example: Bayesian Neural Network
Example: Sparse Regression
Example: Proportion Test
Example: Generalized Linear Mixed Models
Example: Hamiltonian Monte Carlo with Energy Conserving Subsampling
Example: Hidden Markov Model
Example: Predator-Prey Model
Example: Neural Transport
Example: MCMC Methods for Tall Data
