There are 0 repository under point-process topic.
Module for statistical learning, with a particular emphasis on time-dependent modelling
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
A Spatio-temporal point process simulator.
A general framework for learning spatio-temporal point processes via reinforcement learning
Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021
A package for temporal point process modeling, simulation and inference (unmaintained)
Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022
PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
A method for event correlation detection based on Spatial-Temporal-Textual point process
sub-package of spatstat containing core functionality for data analysis and modelling
3D object-based model of braided river deposits (marked point process), an open-source software package (R language)
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Sub-package of spatstat containing all datasets
Hidden Markov Hawkes Process - Model for Analyzing Topical Transitions in text based cascades in Social Networks.
Python Package for simulation and estimation of Hawkes processes
Efficient point process inference for large scale object detection
Tools for evaluating the goodness of fit of a point process model via the time rescaling theorem
A novel point-process model to predict the course of epidemics and other saturating phenomena.
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
Causal Effect of Digital (First-time) Badges in Social Platforms
Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features.
Maximum likelihood estimation of Hawkes processes
Dual Network Hawkes Process -- Analyzing Topic Transitions in Text-Based Social Cascades
Offers models and utilities for event time data using point processes.
Exploration of signal with non-overlapping rectangular pulses in the context of flicker noise.
Analysis of point process driven by fractional Brownian motion.
Diffusion models of inter-event times in point processes.