4min chapter

Learning Bayesian Statistics cover image

#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward

Learning Bayesian Statistics

CHAPTER

Navigating MCMC: Key Questions and Considerations for Beginners

This chapter explores the essential concepts of Markov chain Monte Carlo (MCMC) techniques, addressing common beginner questions about iterations, warm-up phases, and estimator precision. It also contrasts MCMC with variational inference, shedding light on the strengths and challenges of both methods while stressing the need for clear inquiries in learning.

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