BirDePy is a Python package for working with continuous time birth-and-death processes. It includes functions which can be used to approximate transition probabilities (birdepy.probability()), estimate parameter values from data (birdepy.estimate()), simulate sample paths (birdepy.simulate.discrete() and birdepy.simulate.continuous()) and generate forecasts (birdepy.forecast()). The main focus of the package is the estimation of parameter values from discretely-observed sample paths, however the much more straightforward case of estimation of parameter values from continuously observed sample paths is also included.
Please visit our website: https://birdepy.github.io/ and cite our paper:
Hautphenne S, Patch B (2024). "Birth-and-Death Processes in Python: The BirDePy Package." Journal of Statistical Software, (111)5 1-54. doi: 10.18637/jss.v111.i05.
FAQs
Parameter estimation for birth-and-death processes
We found that birdepy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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