Module for statistical learning, with a particular emphasis on time-dependent modelling
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Nov 27, 2024 - Python
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point-process
Here are 22 public repositories matching this topic...
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
epidemiology epidemics points-of-interest point-process hotspots coronavirus coronavirus-analysis covid-19 infection-hotspots superspreaders superspreading-events
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Jun 10, 2025 - Python
Pieces of code that have appeared on my blog.
julia stochastic-process mcmc poisson point-process poisson-process poisson-distribution spatial-statistics point-process-analysis cluster-process point-processes empirical-distributions point-process-models cluster-pattern poisson-disk
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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
python machine-learning reinforcement-learning tensorflow gaussian-mixture-models point-process spatio-temporal spatio-temporal-modeling heterogeneous-gaussian-mixture
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Jan 6, 2021 - Python
Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021
forecasting point-process multi-view-learning event-sequence temporal-modeling temporal-point-processes long-term-forecasting
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Feb 5, 2022 - Python
PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
python machine-learning reinforcement-learning tensorflow lstm generative-model rnn imitation-learning point-process hawkes-process
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May 17, 2019 - Python
A method for event correlation detection based on Spatial-Temporal-Textual point process
python event-correlation mark linkage point-process spatio-temporal event-correlation-detection spatio-temporal-textual
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Dec 16, 2019 - Python
Python Package for simulation and estimation of Hawkes processes
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May 18, 2023 - Python
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May 14, 2019 - Python
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
state-space bayesian kalman-filter em-algorithm point-process maximum-likelihood-estimation spike-train
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Jun 2, 2022 - Python
Causal Effect of Digital (First-time) Badges in Social Platforms
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Sep 7, 2018 - Python
A novel point-process model to predict the course of epidemics and other saturating phenomena.
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Oct 21, 2021 - Python
Code for "Fast Bayesian Estimation of Point Process Intensity as Function of Covariates" at NeurIPS2022
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Oct 24, 2024 - Python
Provide functions for computing multi-scale, multi-tapers estimator of the hyperuniformity exponent and associated asymptotic confidence intervals.
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Jul 25, 2024 - Python
Sample a repelled point process, compute a Monte Carlo estimation for the integral of a function using various variants of the Monte Carlo method including the Monte Carlo with a repelled point process, and visualize gravitational allocations 2D.
monte-carlo numerical-integration point-process spatial-statistics repelled-point-process gravitational-allocation
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Aug 10, 2023 - Python
Exploration of signal with non-overlapping rectangular pulses in the context of flicker noise.
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Aug 1, 2023 - Python
Analysis of point process driven by fractional Brownian motion.
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Oct 17, 2022 - Python
Generates height map and cities then constructs a sensible road network
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Sep 13, 2021 - Python
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