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 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
  • 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
  • statistical rethinking
  • step method
  • survival analysis
  • t-process
  • time series
  • time-to-failure
  • truncated
  • variational inference
  • vector autoregressive model
  • waic
  • weibull
  • Posts tagged truncated

Posts tagged truncated

Bayesian regression with truncated or censored data

  • 12 September 2022
  • Benjamin T. Vincent
  • beginner
  • censored generalized linear model regression truncated

The notebook provides an example of how to conduct linear regression when your outcome variable is either censored or truncated.

Read more ...


Support PyMC

© Copyright 2022, PyMC Community.

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.16.0.