And say that sparsity of parameter space means less RELIABLE predictions - this is not ALWAYS reflected in the CIs alone in the conditional plots - error generated by. We call this VALIDITY (external). Can help to see WHY CIs are broad? coplement each other.
We are going to use the language of https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13650
And say that sparsity of parameter space means less RELIABLE predictions - this is not ALWAYS reflected in the CIs alone in the conditional plots - error generated by. We call this VALIDITY (external). Can help to see WHY CIs are broad? coplement each other.