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jump-diffusion-estimation


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Author: Juan David Ospina Arango
License: MIT
Summary: Simulation and maximum-likelihood estimation of jump-diffusion processes with pluggable asymmetric, heavy-tailed jump distributions, plus likelihood-based inference and a test for the presence of jumps.
Latest version: 0.2.2
Required dependencies: matplotlib | numpy | pandas | scikit-learn | scipy | seaborn | tqdm
Optional dependencies: black | flake8 | jupyter | matplotlib | mypy | pandas-stubs | plotly | pytest | pytest-cov | scipy-stubs | seaborn | sphinx | sphinx-rtd-theme

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