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  • Getting Started with NumPyro

API and Developer Reference

  • Pyro Primitives
  • Distributions
  • Inference
    • Markov Chain Monte Carlo (MCMC)
    • Stochastic Variational Inference (SVI)
    • Automatic Guide Generation
    • Reparameterizers
    • Funsor-based NumPyro
    • Optimizers
    • Diagnostics
    • Runtime Utilities
    • Inference Utilities
    • Visualization Utilities
  • Effect Handlers
  • Contributed Code
  • 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
  • Example: ProdLDA with Flax and Haiku
  • Automatic rendering of NumPyro models
  • Bad posterior geometry and how to deal with it
  • Truncated and folded distributions

Discrete Latent Variables

  • 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: Predator-Prey Model
  • 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

Other Inference Algorithms

  • Example: MCMC Methods for Tall Data
  • Example: Hamiltonian Monte Carlo with Energy Conserving Subsampling
  • Example: Bayesian Neural Network with SteinVI
  • Example: Deep Markov Model inferred using SteinVI
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Inference¶

  • Markov Chain Monte Carlo (MCMC)
  • Stochastic Variational Inference (SVI)
  • Automatic Guide Generation
  • Reparameterizers
  • Funsor-based NumPyro
  • Optimizers
  • Diagnostics
  • Runtime Utilities
  • Inference Utilities
  • Visualization Utilities
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