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Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

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arxiv 1707.03003 v2 pith:JLRN6X46 submitted 2017-07-10 stat.ML

classification stat.ML
keywords ticklibraryemphasislearningmodelsoptimizationparticularpython
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Tick is a statistical learning library for Python~3, with a particular emphasis on time-dependent models, such as point processes, and tools for generalized linear models and survival analysis. The core of the library is an optimization module providing model computational classes, solvers and proximal operators for regularization. tick relies on a C++ implementation and state-of-the-art optimization algorithms to provide very fast computations in a single node multi-core setting. Source code and documentation can be downloaded from https://github.com/X-DataInitiative/tick

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    cs.LG 2025-07 reject novelty 4.0 of 10

    The authors define an intervention-conditioned average treatment effect for event sequences and propose an IPW estimator with a Transformer-CNN intensity model, but the estimator's unbiasedness proof is flawed.

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