point-process
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Module for statistical learning, with a particular emphasis on time-dependent modelling
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Nov 27, 2024 - Python
Umbrella package of the 'spatstat' family................
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May 2, 2025 - R
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
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Apr 18, 2025 - Python
Pieces of code that have appeared on my blog.
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Mar 10, 2025 - Python
A Spatio-temporal point process simulator.
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May 27, 2023 - Python
A general framework for learning spatio-temporal point processes via reinforcement learning
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Jan 6, 2021 - Python
Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021
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Feb 5, 2022 - Python
A package for temporal point process modeling, simulation and inference (unmaintained)
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Mar 14, 2025 - Julia
Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022
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Sep 26, 2022 - Jupyter Notebook
A method for event correlation detection based on Spatial-Temporal-Textual point process
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Dec 16, 2019 - Python
PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
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May 17, 2019 - Python
Python Package for simulation and estimation of Hawkes processes
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May 18, 2023 - Python
sub-package of spatstat containing core functionality for data analysis and modelling
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Jul 24, 2024 - R
Sub-package of spatstat containing all datasets
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Mar 19, 2025 - R
3D object-based model of braided river deposits (marked point process), an open-source software package (R language)
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Feb 24, 2020 - R
Efficient point process inference for large scale object detection
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Apr 3, 2018 - MATLAB
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
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May 2, 2025 - R
Hidden Markov Hawkes Process - Model for Analyzing Topical Transitions in text based cascades in Social Networks.
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Jun 22, 2022 - C++
Tools for evaluating the goodness of fit of a point process model via the time rescaling theorem
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Oct 20, 2021 - Jupyter Notebook
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