Skip to main content
Ctrl+K
Logo image Logo image

Site Navigation

  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing

Site Navigation

  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing

Categories

Tutorial
How-to
Explanation
Reference

Tags

  • ABC
  • BART
  • Bayes Factors
  • Bayesian workflow
  • CO2
  • DEMetropolis
  • DEMetropolis(Z)
  • JAX
  • ODE
  • PCA
  • PyTensor
  • Reinforcement Learning
  • SMC
  • Simpson's paradox
  • ab test
  • approximation
  • autoregressive
  • bayesian imputation
  • bayesian structural timeseries
  • binned data
  • binomial regression
  • calibration
  • case study
  • categorical regression
  • causal impact
  • causal inference
  • censored
  • classification
  • count data
  • counterfactuals
  • cox process
  • cross validation
  • debugging
  • deployment
  • diagnostics
  • difference in differences
  • discrete choice
  • do-operator
  • external likelihood
  • extreme
  • factor analysis
  • forecasting
  • gaussian process
  • gaussian processes
  • generalized linear model
  • gradient-free inference
  • graph mutation
  • hidden markov model
  • hierarchical
  • hierarchical model
  • hypothesis testing
  • inference
  • jax
  • latent gaussian process
  • linear model
  • logistic regression
  • longitudinal
  • loo
  • matrix factorization
  • mediation
  • minibatch
  • missing data
  • mixture model
  • model averaging
  • model comparison
  • model expansion
  • moderation
  • multi-output
  • negative binomial regression
  • neural networks
  • non-parametric
  • nonparametric
  • numba
  • ordinal regression
  • out of sample predictions
  • outliers
  • panel data
  • parameter estimation
  • path analysis
  • patsy
  • perceptron
  • poisson
  • posterior predictive
  • prediction
  • product recommendation
  • prophet
  • quantile
  • quasi experiments
  • regression
  • robust
  • scaling
  • shared data
  • spatial
  • spline
  • sports
  • survival analysis
  • time series
  • time-to-failure
  • truncated
  • variational inference
  • vector autoregressive model
  • waic
  • weibull

Posts tagged scaling

Faster Sampling with JAX and Numba

  • 11 July 2023
  • intermediate, reference
  • scaling JAX numba hierarchical model

PyMC can compile its models to various execution backends through PyTensor, including:

Read more ...

Support PyMC

© Copyright 2022, PyMC Community.

Built with the PyData Sphinx Theme 0.12.0.

Created using Sphinx 5.3.0.