Importance Sampling

• Put more quadrature points in regions where integral receives its greatest contributions

• Return to 1-dimensional example

• Most contribution from region near x = 1

• Choose quadrature pointsnot uniformly, but accordingto distribution p(x)

  • linear form is one possibility

• How to revise the integral to remove the bias?

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