Search Results

You are looking at 1 - 1 of 1 items for :

  • Optical properties x
  • Mathematical Advances in Data Assimilation (MADA) x
  • All content x
Clear All
Derek J. Posselt and Tomislava Vukicevic

likelihood that the parameters are the true parameters (given the uncertainty in the model and observations), and P ( y ) is the prior probability density of the observations. The optimal parameter estimate is, by definition, the maximum likelihood point in the conditional distribution P ( x | y ), and the error characteristics for the set of control parameters can be examined by considering the properties (e.g., moments) of the conditional PDF. Note that we have made no assumptions about the form of

Full access