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Which sampling method draws from the prior and discards mismatches?

  • A.Discarding the earliest samples before the chain has settled
  • B.Discarding samples that disagree with the evidence
  • C.Rejecting samples whose probability falls below a fixed threshold
  • D.Refusing to sample from nodes whose parents remain unassigned

Answer: B

Rejection sampling draws complete samples from the prior and throws away those inconsistent with the evidence, estimating the query from what survives. It is correct and hopelessly wasteful when the evidence is unlikely, since almost every sample is discarded. Thresholds, unassigned parents and burn-in belong to other methods. Its inefficiency is precisely the problem likelihood weighting sets out to fix.

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