You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When leaving settings of perfect model-data pairings it is common to have prior or model misspecification. Catching these early, (i.e. before the algorithm iterates) would save users some time.
Suggestions
The user creates the EKP setting, generates and runs the initial ensemble.
We could add recipes that plot the following lines: (1) y,G(\theta_i) with ribbondiag(\Gamma) (2) \Gamma^{-1/2}y, \Gamma^{-1/2}G(\theta)_i) with ribbon I. This could be extended to any iteration, for example, plot_pushforward(ekp,i) for plotting the pushforward of iteration i.
Some quick diagnostic to evaluate the consistency of the truth and prior.
...
The text was updated successfully, but these errors were encountered:
Issue
When leaving settings of perfect model-data pairings it is common to have prior or model misspecification. Catching these early, (i.e. before the algorithm iterates) would save users some time.
Suggestions
The user creates the EKP setting, generates and runs the initial ensemble.
y,G(\theta_i)
with ribbondiag(\Gamma)
(2)\Gamma^{-1/2}y, \Gamma^{-1/2}G(\theta)_i)
with ribbonI
. This could be extended to any iteration, for example,plot_pushforward(ekp,i)
for plotting the pushforward of iterationi
.The text was updated successfully, but these errors were encountered: