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Explicit form for prior P

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Stick-Breaking Construction Chinese Restaurant Representation H P X1 X2 XN H X Y1 Y2 YN Yi DP prior, P lya urn likelihood P lya urn scheme Inference with data – PowerPoint PPT presentation

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Title: Explicit form for prior P


1
Stick-Breaking Construction
Chinese Restaurant Representation
  • Pólya urn scheme
  • Inference with data
  • Explicit form for prior P

Integrate out P
  • (X1, , Xn) are dependent
  • (K1, , Kn) are independent given p.

2
Blocked Gibbs Sampler
Pólya Urn Gibbs Sampler
  • Sample indicators K from its conditional
    posteriors (multivariate distributions)
  • Sample Z
  • For those j not occupied by any Xi, sample Zj
    from base prior H?
  • For those j occupied by Xi, sample Zj from
    conditional posterior
  • Sample p from its conditional posteriors
  • Sample indicator Ki i1,,N,
  • For Ki0, draw new Xi from
  • For Kigt0, generate a new set of Xk according to
    posteriors
  • Drawbacks
  • (c1,,cN) are dependent, slowly mixing, at least
    N1 component sampler, update one at a time.
  • Integration in qi0 may be intractable.
  • Inference for the posterior of P only based on
    the posterior Xi values.

Advantage Fast mixing, 3-component
sampler. Drawbacks Must truncate at a finite
level, otherwise, the normalized constant in
is an infinite sum.
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