I want help on separating all possible types of trend present in hydro logical time series. Please suggest me appropriate methodology to separate different types of trend (linear, nonlinear, and stochastic) that mostly present in hydro logical time series.
Kaiguang Zhao
To tease my ego, here is one possible time series decomposition method developed by my group that aims to separate a time series into nonlinear trend, seasonality, and abrupt changes (changepoint): https://github.com/zhaokg/Rbeast.
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