A touch on the subject of likelihood

  1. Need to take advantage of simulations (model and parameter sets) that did well in comparison to the real world.
  2. In fact up to this point we have not made any statements about how this relates to the "God" model.
  3. It would be beneficial to weight the simulations results by how well they matched measurements before a distribution is produced.
  4. The likelyhood estimator of doff=1/1+sqrt((distpredicted-distgod)2) is used.
  5. Required only that it be monitonically increasing as the simulation is closer to the actual answer.
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