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Provide tools to compute rate spectra from noisy time series data


This project is python code, with examples, for computing rate spectra from noisy time series data. While numerical inverse Laplace transforms are typically ill-posed, this code provides a straightforward method of regularization, by sampling from a posterior distribution of possible models.

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This project is python code, with examples, for computing rate spectra from noisy time series data.

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