Figure 3.
Fig. 3. Estimation of nuisance parameters. Posterior histograms
compiled from MCMC samples for the scaling factor in
the ISPA and for the width of the log normal
error distribution. (A) Posterior histogram p( -
|D,I) for the
inverse sixth power of . This factor
corrects interproton distances to match the experimental
distances best. (B) Posterior histogram p( |D,I) for the
error . In conventional
approaches, this analog to the weight (w[data] -2) can only be
estimated via cross-validation or must be set empirically.
The above figure is reprinted
by permission from the AAAs:
Science
(2005,
309,
303-306)
copyright 2005.
in
the ISPA and for the width 
of the log normal
error distribution. (A) Posterior histogram p( 
|D,I) for the
inverse sixth power of 