Random walk example, Part 2

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Compétences que vous apprendrez

Gibbs Sampling, Bayesian Statistics, Bayesian Inference, R Programming

Avis

4.8 (232 notes)
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DA

Jan 10, 2018

The best course I had in statistics. unlike many other courses the instructor does not ignore the underlying mathematics of the codes.

WW

Dec 11, 2018

Great materials and well organized lecture structure. But in the meanwhile, it requires quite a lot preliminary knowledge.

À partir de la leçon
Markov chain Monte Carlo (MCMC)
Metropolis-Hastings, Gibbs sampling, assessing convergence

Enseigné par

  • Matthew Heiner

    Matthew Heiner

    Doctoral Student

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