sippi_forward_covariance_inference : Probabilitsic covariance inference
 
  Call :
   [d,forward,prior,data]=sippi_forward_covariance_inference(m,forward,prior,data,id,im)
 
 
   forward.pos_known : [x' y' z'],  [ndata,ndim] with position of observed data
   forward.G : Forward operator
 
   Prior covariance model, N(m0,Cm) is chosen as
   forward.m0 : initial mean model
   forward.Cm/forward.Va : inital covariance model
 
   prior{im}.m0
   prior{im}.type (round(type) is itype)
   prior{im}.range_1
   prior{im}.range_2
   prior{im}.range_3
   prior{im}.ang_1
   prior{im}.ang_2
   prior{im}.ang_3
   prior{im}.sill
   prior{im}.nugget_fraction
 
  See Hansen et al. (2014). A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support. 
  Mathematical Geosciences 47(7), pp 843-865. published online 09-2014. doi:10.1007/s11004-014-9567-5 
 
  See also: sippi_forward