July 9, 2009 7:00 PM - 55 attended

Bayesian Methods + MCMC

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Still hammering out the details, but it is likely that we will have two presenters, Jake Hofman and Suresh Velagapundi - who will discuss both the nature and and application of Bayesian methods both from a theoretical perspective and through applied examples in R.

Jake will present:

Background


  • Conditional probability & Bayes' Rule
  • Treating parameters as random variables & putting distributions on them
  • Bayesian inference: from priors & likelihoods to posteriors

From Principles to Practice

  • Simple plan; difficult to execute (normalization)
  • Resort to approximation methods (variational & MCMC)
  • Model selection / complexity control a la Bayes (time permitting)

  • Suresh Velagapudi
    Suresh Velagapudi

    R is great for Bayesians too!
    Let me know your expectations! I will coordinate with Jake

    Posted June 13, 2009 at 2:48 PM
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55 attended

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3.50 3.507 (7 ratings)
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