Probabilistic data structures offer great potential for conditioned event handling in software systems. How can we use them when the events are governed by randomness?
I think, simulations is the best approach.
You may use the sample as an empirical distribution, or fit a distribution to the sampled data, and use the best fit in this simulation.
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