Metrics and barycenters for point pattern data

DOI10.1007/s11222-020-09932-yzbMath1447.62140arXiv1909.07266OpenAlexW3008025834MaRDI QIDQ89375

Dominic Schuhmacher, Raoul Müller, Jorge Mateu, Raoul Müller, Dominic Schuhmacher, Jorge Mateu

Publication date: 24 February 2020

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.07266

zbMATH Keywords

networkpoint processWasserstein distanceoptimal transportFréchet meanunbalancedFréchet median

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Statistics on metric spaces (62R20)

Related Items (5)

Particle gradient descent model for point process generation ⋮ Location Problems with Cutoff ⋮ Assessing similarities between spatial point patterns with a siamese neural network discriminant model ⋮ On computing medians of marked point process data under edit distance ⋮ ttbary

Uses Software

• R
• ttbary

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