• Published 2003

A Monte Carlo method for Bayesian dependency derivation

@inproceedings{Norn2003AMC,
  title={A Monte Carlo method for Bayesian dependency derivation},
  author={Niklas Nor{\'e}n},
  year={2003}
}
Dependency derivation is the search for combinations of variables (or states of variables) in a database, that co-occur unexpectedly often. In Bayesian dependency derivation, indications are ranked primarily by their estimated strengths, but an adjustment is made to account for uncertainty when data is scarce. This reduces the risk of highlighting spurious associations. This report presents refined methods for IC analysis—one method for Bayesian dependency derivation. The disproportionality… CONTINUE READING

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