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A strictly stationary process (or time series) is one whose joint distribution is constant over time shifts. A weakly stationary (or covariance stationary) process or series is one whose mean and covariance function (variance and autocorrelation function) do not change over time.

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How do you fit/learn a nonstationary Poisson process from data using maximum likelihood esti...

I'm trying to understand how to fit/learn a nonstationary Poisson process from data. Through this question, I will explain how I understand the Poisson process, the nonstationary variation of it, and …
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