A Metric Space for Point Process Excitations

DOI10.1613/jair.1.13610OpenAlexW4223891324MaRDI QIDQ5076362

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

Publication date: 16 May 2022

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.02515

zbMATH Keywords

machine learningmodel-based reasoningcomputational social systemsspatial and temporal databases

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27)

Uses Software

• GloVe
• PyHawkes

Cites Work

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• Latent self-exciting point process model for spatial-temporal networks
• Comparison and assessment of epidemic models
• Data-driven probability concentration and sampling on manifold
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• Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ ``Real-time crime forecasting challenge
• Modelling dyadic interaction with Hawkes processes
• Cubic regularization of Newton method and its global performance
• Diffusion maps
• General methodology for nonlinear modeling of neural systems with Poisson point-process inputs
• When Is a Network Epidemic Hard to Eliminate?
• First- and Second-Order Statistics Characterization of Hawkes Processes and Non-Parametric Estimation
• Estimation of Space–Time Branching Process Models in Seismology Using an EM–Type Algorithm
• On Lewis' simulation method for point processes
• THE PROBABLE ERROR OF A MEAN
• Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
• The challenges of modeling and forecasting the spread of COVID-19
• Self-Exciting Point Process Modeling of Crime
• The Entropy of a Point Process
• Spectra of some self-exciting and mutually exciting point processes
• Testing the manifold hypothesis

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