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  • Getting Started with NumPyro

API and Developer Reference

  • API Reference
  • Change Log

Introductory Tutorials

  • Bayesian Regression Using NumPyro
  • Bayesian Hierarchical Linear Regression
  • Example: Baseball Batting Average
  • Example: Variational Autoencoder
  • Example: Neal’s Funnel
  • Example: Stochastic Volatility
  • Automatic rendering of NumPyro models

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
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