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tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models.

, , , , and . J. Mach. Learn. Res., (2017)

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Wavelet-based estimators of scaling behavior., , , and . IEEE Trans. Information Theory, 48 (11): 2938-2954 (2002)Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation., , and . ICASSP (3), page 869-872. IEEE, (2007)Sound Signals Decomposition Using a High Resolution Matching Pursuit., , , , and . ICMC, Michigan Publishing, (1996)Audio Denoising by Time-Frequency Block Thresholding., , and . IEEE Trans. Signal Processing, 56 (5): 1830-1839 (2008)Modeling microstructure noise using Hawkes processes., , , and . ICASSP, page 5740-5743. IEEE, (2011)Continuous-Time Skewed Multifractal Processes as a Model for Financial Returns., , and . J. Applied Probability, 49 (2): 482-502 (2012)tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models., , , , and . J. Mach. Learn. Res., (2017)Harmonic decomposition of audio signals with matching pursuit., and . IEEE Trans. Signal Processing, 51 (1): 101-111 (2003)Uncovering Causality from Multivariate Hawkes Integrated Cumulants., , , , and . CoRR, (2016)ZiMM: a deep learning model for long term adverse events with non-clinical claims data., , , and . CoRR, (2019)