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Paper Citation Record · LEDGER

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2502.07111.

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pith.paper-citation-record.v1
2502.07111 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:51:24.700604Z

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 8986d1f1-be53-44aa-ba8e-5339f43d7a3d · outbound

This paper cites Uncovering causality from multivariate hawkes integrated cumulants.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Uncovering causality from multivariate hawkes integrated cumulants

Reference 1

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Observation 19c98228-b284-4338-a599-46df2345ce15 · outbound

This paper cites The effect of differential victim crime reporting on predictive policing systems.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing The effect of differential victim crime reporting on predictive policing systems

Reference 2

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Observation 0d821419-e848-4b61-9437-1b00b87f3cab · outbound

This paper cites The effect of differential victim crime reporting on predictive policing systems.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing The effect of differential victim crime reporting on predictive policing systems

Reference 3

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Observation e58e263c-ccec-4fed-aaf1-8096b0f3ac35 · outbound

This paper cites Wasserstein generative adversarial networks.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Wasserstein generative adversarial networks

Reference 4

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Observation 45aa1354-97a3-4d24-bb41-193fe779c2e3 · outbound

This paper cites Hawkes processes in finance.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Hawkes processes in finance

Reference 5

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Observation 20666669-64fe-4335-bac2-19117fccd1af · outbound

This paper cites ABC Learning of Hawkes Processes with Missing or Noisy Event Times.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing ABC Learning of Hawkes Processes with Missing or Noisy Event Times

Reference 6

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Observation 4e9466b9-50ad-4745-8243-e2ce154cbdb5 · outbound

This paper cites A note on minimum distance estimates.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing A note on minimum distance estimates

Reference 7

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Observation 8c472661-ab71-4658-8d4d-40735b9514eb · outbound

This paper cites Effects of padding on LSTMs and CNNs.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Effects of padding on LSTMs and CNNs

Reference 8

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Observation 383c9e98-33d6-40d2-b8b6-1469d5b77a20 · outbound

This paper cites 2 test for the comparison of weighted and unweighted histograms.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing 2 test for the comparison of weighted and unweighted histograms

Reference 9

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Observation 7554aa82-2905-4bda-aed5-f859db4a23aa · outbound

This paper cites Generative adversarial nets.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Generative adversarial nets

Reference 10

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Observation a4340e23-58a3-4344-9488-566c7aad71c6 · outbound

This paper cites Improved training of wasserstein gans.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Improved training of wasserstein gans

Reference 11

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Observation dfd8e93e-8bf2-4345-baa0-f46e6b417f82 · outbound

This paper cites Hawkes processes and their applications to finance: a review.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Hawkes processes and their applications to finance: a review

Reference 12

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Observation 0e98c922-f1df-4606-b01c-e2023c2bf13d · outbound

This paper cites A cluster process representation of a self-exciting process.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing A cluster process representation of a self-exciting process

Reference 13

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Observation 321754dc-7609-4ba9-842c-4c0c58fbc75e · outbound

This paper cites Long short-term memory.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Long short-term memory

Reference 14

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Observation 129febae-06a4-453a-a4c6-62dba32e1cf3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Adam: A Method for Stochastic Optimization

Reference 15

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Observation d2a9f26e-2fac-4ca1-8778-54cb9d40c375 · outbound

This paper cites The neural hawkes process: A neurally self-modulating multivariate point process.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing The neural hawkes process: A neurally self-modulating multivariate point process

Reference 16

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Observation 1aac3dda-b1dd-4b7e-88cb-4b29221aa4bc · outbound

This paper cites Self-exciting point process modeling of crime.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Self-exciting point process modeling of crime

Reference 17

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Observation 8587310e-c865-4e7f-a1bc-369f9b414e7c · outbound

This paper cites Statistical models for earthquake occurrences and residual analysis for point processes.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Statistical models for earthquake occurrences and residual analysis for point processes

Reference 18

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Observation c8ba4bd1-8b0f-4d28-ab63-ac97d384511f · outbound

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Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Predictive policing and crime prevention

Reference 19

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This paper cites A review of self-exciting spatio-temporal point processes and their applications.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing A review of self-exciting spatio-temporal point processes and their applications

Reference 20

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This paper cites Sensitivity of noisy neurons to coincident inputs.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Sensitivity of noisy neurons to coincident inputs

Reference 21

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This paper cites D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction

Reference 22

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This paper cites Generative adversarial networks (gans) challenges, solutions, and future directions.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Generative adversarial networks (gans) challenges, solutions, and future directions

Reference 23

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This paper cites Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Reference 24

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Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Attention is all you need

Reference 25

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Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Estimation of space–time branching process models in seismology using an em–type algorithm

Reference 26

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Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Wasserstein Learning of Deep Generative Point Process Models

Reference 27

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Observation e5eb5287-629f-4983-916c-93c47a579dab · outbound

This paper cites Multivariate spatiotemporal hawkes processes and network reconstruction.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Multivariate spatiotemporal hawkes processes and network reconstruction

Reference 28

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Observation 244ce327-3e27-494e-bb06-139c8bdffe29 · outbound

This paper cites Spatial-Temporal-Textual Point Processes for Crime Linkage Detection.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Spatial-Temporal-Textual Point Processes for Crime Linkage Detection

Reference 29

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