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Enable Distribution to explicitly represent latents instead of marginalizing, and implement logp/logp_score with fixed latents. #56

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emilyfertig opened this issue Jun 14, 2024 · 1 comment
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@emilyfertig
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First, we will need a way for a Distribution (our in-code representation
of a data model) to specify to the system whether it wants to explicitly
represent its latents, or collapse (marginalize) them.

• For distributions that explicitly represent their latents, logp score should
return the conditional likelihood of the accumulated data given the current
value of the parameter θ, and logp should return the likelihood of a new
datapoint x given θ

@emilyfertig emilyfertig added this to the Model 3 milestone Jun 14, 2024
@ThomasColthurst ThomasColthurst self-assigned this Jun 21, 2024
@ThomasColthurst
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Done in #67

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