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On the other hand, we could consistently interpret cgpm.logpdf(A_r = 42) to mean log Pr[A_* = 42 | D, B_* = b_r, X_* = x_r] -- i.e., any time someone asks about an observed cell in an observed row, give the answer instead for the corresponding cell in a hypothetical row having all the other information from the observed row.
My current solution for computing logpdf_multirow(A_r=42, A_r = 42) (necessary for the relevance search) is:
unincorporater if it is on the dataset
compute logpdf_multirow(A_r*=42 | A_r = 42, z_r=z_r*=k) * logpdf_multirow(A_r = 42, z_r=k) for all values of k and marginalize k out.
reincorporate r
The text was updated successfully, but these errors were encountered:
Related to #116, #181.
@riastradh-probcomp proposed for the single row logpdf:
My current solution for computing
logpdf_multirow(A_r=42, A_r = 42)
(necessary for the relevance search) is:unincorporate
r
if it is on the datasetlogpdf_multirow(A_r*=42 | A_r = 42, z_r=z_r*=k) * logpdf_multirow(A_r = 42, z_r=k)
for all values ofk
and marginalizek
out.reincorporate
rThe text was updated successfully, but these errors were encountered: