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A stochastic process is a collection of random variables usually indexed by a totally ordered set.

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How to get/approximate the derivative of noisy time series?

to recover $\dot{\mathbf{x}}$ from $\mathbf{x}$, maybe one way is to first get an estimation of $Q$ and $\eta$ (treat $Q$ as a random variable, independent of all $\eta$). Assume an estimation of $Q$ …
Xige Yang's user avatar