Environment Installation with Anaconda

Environment Installation with Anaconda

You'll have the best experience in this course with a local environment installed. In this section we provide step by step instructions for how to do this on your computer.

This video was recorded for the Introductory Course but all the details remain the same

Practical MCMC

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Introduction

  • Welcome to the MCMC Course
  • What do the MC and MC in MCMC stand for?
  • What MCMC Enables
  • The reality of working with MCMC
  • Who's this course for?
  • What we'll cover
  • Lesson Feedback
  • Lesson Exercises

Resources Library

  • Intuitive Bayes Discourse Community Invite
  • Github Repository and Code Access
  • Environment Installation with Anaconda
  • Optional Orientation: Github
  • Optional Orientation: Discourse
  • Optional Orientation: Podia

Investigating Inference

  • Introduction
  • Basic Bayes
  • Conjugate Models
  • Grid Search
  • Lesson Recap
  • Lesson Feedback
  • Lesson Exercises
  • Lesson References

Markov Chain Monte Carlo Deep Dive

  • Introduction
  • MCMC Deep Dive
  • Introducing Metropolis Hastings
  • Introducing Hamiltonian Monte Carlo
  • MCMC in Practice
  • Lesson Recap
  • Lesson Feedback
  • Lesson Exercises
  • Lesson References

The MCMC Practioners Toolbox

  • Introduction
  • Diagnostics intuitions
  • Trace Plots
  • Rank Plots
  • R Hat
  • Autocorrelation and effective size
  • Divergences
  • Diagnostics in an end-to-end Bayesian workflow
  • Lesson Recap
  • Lesson Feedback
  • Lesson Exercises
  • Lesson References

Not So Random Topics

  • Introduction
  • Practical HMC Tuning
  • (Hierarchical) Reparamaterization
  • Changing the data
  • A Cornucopia of Samplers
  • Monte Carlo Standard Error
  • Lesson Recap
  • Lesson Feedback
  • Lesson Exercises
  • Lesson References

Final Notes

  • Congratulations!