Skip to main content
Local search
PyMC example gallery - Home PyMC example gallery - Home
  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing
  • GitHub
  • Mastodon
  • Twitter
  • YouTube
  • Discourse
  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing
  • GitHub
  • Mastodon
  • Twitter
  • YouTube
  • Discourse

Categories

beginner
intermediate
advanced

Tags

  • ABC
  • BART
  • Bayes Factors
  • Bayesian workflow
  • CO2
  • DEMetropolis
  • DEMetropolis(Z)
  • JAX
  • ODE
  • PCA
  • PyTensor
  • Reinforcement Learning
  • SMC
  • Simpson's paradox
  • ab test
  • approximation
  • auto-imputation
  • autoregressive
  • bayesian decision theory
  • bayesian imputation
  • bayesian inference
  • bayesian structural timeseries
  • bayesian workflow
  • binned data
  • binomial regression
  • calibration
  • case study
  • categorical regression
  • categorical variables
  • causal impact
  • causal inference
  • censored
  • cfa
  • classification
  • competing risks
  • confirmatory factor analysis
  • confounding
  • controls
  • copula
  • correlated features
  • count data
  • counterfactuals
  • cox process
  • cross validation
  • debiased machine learning
  • debugging
  • deployment
  • diagnostics
  • difference in differences
  • discrete choice
  • do-operator
  • extreme
  • factor analysis
  • forecasting
  • frailty model
  • gaussian process
  • gaussian processes
  • generalized linear model
  • generalized linear models
  • gradient-free inference
  • graph mutation
  • hamiltonian monte carlo
  • hidden markov model
  • hierarchical
  • hierarchical model
  • hilbert space approximation
  • hypothesis testing
  • inference
  • latent gaussian process
  • linear model
  • linear regression
  • logistic regression
  • longitudinal data
  • loo
  • matrix factorization
  • mcmc
  • measurement error
  • mediation
  • minibatch
  • missing covariate values
  • missing data
  • missing values
  • mixture model
  • model averaging
  • model comparison
  • model expansion
  • model fitting
  • moderation
  • multi-output
  • multilevel models
  • negative binomial regression
  • neural networks
  • nonparametric
  • numba
  • ordered categories
  • ordinal features
  • ordinal regression
  • out of sample predictions
  • outliers
  • panel data
  • parameter estimation
  • path analysis
  • patsy
  • perceptron
  • poisson
  • posterior predictive
  • prediction
  • priors
  • probability
  • product recommendation
  • propensity scores
  • prophet
  • quantile
  • quasi experiments
  • r-datasets
  • regression
  • robust
  • sampling
  • scaling
  • scientific workflow
  • sem
  • shared data
  • social networks
  • spatial
  • spline
  • splines
  • sports
  • state space model
  • statistical rethinking
  • step method
  • structural equation models
  • survival analysis
  • t-process
  • time series
  • time-to-failure
  • truncated
  • variational inference
  • vector autoregressive model
  • waic
  • weibull
  • workflow
  • Posts tagged hilbert space approximation

Posts tagged hilbert space approximation

Baby Births Modelling with HSGPs

  • 31 January 2024
  • [Juan Orduz](https://juanitorduz.github.io/)
  • intermediate , how-to
  • gaussian process hilbert space approximation

This notebook provides an example of using the Hilbert Space Gaussian Process (HSGP) technique, introduced in [], in the context of time series modeling. This technique has proven successful in speeding up models with Gaussian process components.

Read more ...

Support PyMC

© Copyright 2022, PyMC Community.

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.16.0.