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Can we employ stochastic processes like the Poisson process to represent irregular data points? Are there any existing models for this?


A common strategy is interpolation. The challenge is that forecasting itself is a form of interpolation. So you're forecasting based on forecasted data.


I think a common “solution” is to use a Gaussian process model.




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