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shchur avatar shchur commented on August 15, 2024

You are correct that log_prob() computes log-intensity plus log survival probability (i.e., log intensity minus the integral). In the code (lines 128-130) I only compute the log survival probability for the time interval [t_N, T), i.e. between the last event and the end of the observed time interval. Does this answer your question?

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BIRD-TAO avatar BIRD-TAO commented on August 15, 2024

Thanks. However, in lots of implementation, the final time interval survival probability is omitted, and do you agree that this can be all omitted, which will still be a strict model comparison.

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shchur avatar shchur commented on August 15, 2024

I would be very careful when comparing to other implementations. Small changes (like rescaling / normalizing the times) can totally change the log-likelihood and make the results incomparable. I have also seen some implementations that compute the loss differently, like only computing the log-likelihood for marks, adding some regularization terms, or sometime even having serious bugs in the computation.

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BIRD-TAO avatar BIRD-TAO commented on August 15, 2024

Thanks a lot. I will continue following and expanding your fantastic work!

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