UC’s Millennium Problems

  1. How are those MBH99 uncertainties estimated?
  2. How many meteorological stations would be needed to beat the uncertainty levels of MBH99?
  3. If you don’t have a prior distribution of the signal, and observe signal+noise (noise independent of the signal), what kind of estimator yields a reconstruction that has a smaller sample variance than the true signal?
  4. How to define / measure natural variability ?
  5. Where do we need evolving multivariate regression ?
  6. Calibration: ICE, CCE or maybe even CVM. Why Kendall’s ATS claims that once the model is clearly stated, the choice of estimator follows directly ?

One Comment

  1. John A:

    Welcome to Auditblogs! If you need help, you know who to ask…

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