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I agree and have been doing some similar analysis on the backblaze dataset. I suppose you can use this for prediction but I'm personally just interested in post-hoc analysis and (1) getting better AFR estimates when failure counts are low + (2) exploring time-dependence of hazard functions with different priors (GP priors, etc.). This post and your comment have motivated me to make a post this weekend! Thanks!



You should check out this time-to-event neural network [1].

[1] https://github.com/ragulpr/wtte-rnn




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