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 discrete choice

Discrete Choice and Random Utility Models

  • 08 June 2023
  • advanced, reference
  • discrete choice generalized linear model model expansion categorical regression

This notebook uses libraries that are not PyMC dependencies and therefore need to be installed specifically to run this notebook. Open the dropdown below for extra guidance.

Read more ...

Support PyMC

© Copyright 2022, PyMC Community.

Built with the PyData Sphinx Theme 0.12.0.

Created using Sphinx 5.3.0.