zgbkdlm/ssdgp
State-space deep Gaussian processes in Python and Matlab
This helps scientists and engineers analyze time-series data where the patterns change over time, such as in sensor readings or financial markets. You input your time-series observations, and it provides a robust model that can predict future values and understand the underlying dynamics, even when they're erratic. This is for researchers or practitioners who need to model complex, time-varying signals in fields like signal processing or econometrics.
No commits in the last 6 months.
Use this if you need to model and predict the behavior of signals or processes that exhibit changing, non-stationary characteristics over time.
Not ideal if your data patterns are consistently stable and predictable, as simpler models might suffice.
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Last pushed
Jun 12, 2022
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