Simulates a random determinantally-thinned Poisson point process on a rectangle.
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Updated
Dec 2, 2019 - Julia
Simulates a random determinantally-thinned Poisson point process on a rectangle.
Generates height map and cities then constructs a sensible road network
Exploration of signal with non-overlapping rectangular pulses in the context of flicker noise.
Analysis of point process driven by fractional Brownian motion.
This repository studies the occurrence and localization of commercial establishments in Medellín, modeled as a point processes. It analyzes area intensity based on CIUU commercial codes and identify whether point distributions are clustered, random, or inhibitory.
Dual Network Hawkes Process -- Analyzing Topic Transitions in Text-Based Social Cascades
Offers models and utilities for event time data using point processes.
Diffusion models of inter-event times in point processes.
Maximum likelihood estimation of Hawkes processes
Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features.
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.
Provide functions for computing multi-scale, multi-tapers estimator of the hyperuniformity exponent and associated asymptotic confidence intervals.
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
A novel point-process model to predict the course of epidemics and other saturating phenomena.
Causal Effect of Digital (First-time) Badges in Social Platforms
Code for "Fast Bayesian Estimation of Point Process Intensity as Function of Covariates" at NeurIPS2022
Point process sensing library (sensepy)
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