Markov Chains and Importance Sampling 1.

• Importance sampling specifies the desired limiting distribution

• We can use a Markov chain to generate quadrature points according to this distribution

• Example

  • Method 1: let
  • then

V

q = normalization constant

Simply sum r2 with points given by Metropolis sampling

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