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  1. ...quot;branching events" may be a candidate for treatment with the Monte Carlo method. The Markov Chain method variant differs from the standard Monte Carlo technique in...

    3 Answers · Science & Mathematics · 17/07/2006

  2. ...as you acknowledge, stochastic stuff - but all you really need to know is some basic Markov Chain theory - the Markov property, ergodicity, and finding the limiting...

    2 Answers · Science & Mathematics · 10/06/2009

  3. ...question than really Words & Wordplay. MCMC is "Markov chain Monte Carlo", which is a group of iterative methods in statistics to numerically determine...

    3 Answers · Education & Reference · 05/08/2014

  4. ... marginals and correlation Slice sampler 8 Markov Chains Monte Carlo sampling Gibbs sampler Metropolis sampling...

    1 Answers · Business & Finance · 27/01/2008

  5. This says it more elequently than I could. http://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo

    1 Answers · Science & Mathematics · 05/06/2007

  6. ...information criterion, GS = genetic similarity, MS = management similarity, MCMC = Markov chain Monte Carlo ~angel

    1 Answers · Science & Mathematics · 26/09/2006

  7. ... are really courses in numerical estimation methods such as Markov Chain Monte Carlo, or Acceptance-Rejection testing. Non-linear ...

    1 Answers · Science & Mathematics · 14/04/2016

  8. ...with optimization algorithms such as expectation-maximization algorithm (EM), Markov chain Monte Carlo (MCMC), or hidden Markov models (HMM). ...

    2 Answers · Social Science · 26/06/2013

  9. ... advanced mathematical techniques (Bayesian statistics, Monte Carlo techniques, Markov chains, filtering/smoothing, etc.). You will learn how to apply math...

    1 Answers · Education & Reference · 01/10/2010

  10. ..., ARCH models, stochastic volatility, wavelets and Monte Carlo Markov chain integration methods. These add to a classical coverage of time series regression...

    3 Answers · Yahoo Products · 21/02/2007

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