Dealing with missing data and custom distribution

chrism · March 12, 2021, 5:29pm

Sorry, don’t think it’s either of those. In fact I don’t think logp ever sees the missing values. It looks like it’s converted to a theano tensor with that partial row omitted.

Topic		Replies	Views
Missing values in a model? Questions	12	4791	November 7, 2018
What does the hierarchical model look like when having missing in observed? Questions	12	1173	October 31, 2018
Rewriting Likelihood with DensityDist() outputs MissingInputError Questions	9	848	April 3, 2021
Marginalizing over missing categories Questions	1	726	June 17, 2020
Calculating the likelihood based on not missing observed values Questions	5	1995	June 12, 2018

Dealing with missing data and custom distribution

Related topics