A tempered Gibbs sampler changes the coordinate-selection probabilities and compensates by drawing from modified complete conditionals. Its invariant law can differ from the desired target, so expectations under the target are recovered with explicit importance weights.

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  1. Gibbs sampler
  2. Markov chain Monte Carlo
  3. Bayesian statistics
  4. Statistical inference
  5. Probability and statistics
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