Stochastic Perturbation Methods

• Some methods well-developed in statistical literature:

  • Matrix masking, including adding noise
  • Post-randomization
    • Randomized response after data are collected
  • Multiple Imputation
    • Sampling from full posterior distribution
  • Data swapping and constrained cyclic perturbation

• Key is full information on stochastic transformation for proper statistical inferences.

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