Random walk example, Part 1

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Compétences que vous apprendrez

Gibbs Sampling, Bayesian Statistics, Bayesian Inference, R Programming

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4.8 (301 évaluations)
  • 5 stars
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  • 4 stars
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  • 3 stars
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  • 2 stars
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FM

May 04, 2020

I really liked the course. It was well organized. The fact that the theory was accompanied by hands-on exercises in R truly reinforced the concept. Well-done!

SK

Nov 17, 2019

One of the best designed courses. The material and videos are very precise and informative. The quiz questions and assignment are very enjoyable. Thank you !

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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