Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes | Paper Citation Record

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 1

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This paper cites Bonilla, Theodoros Damoulas, and Sally Cripps.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Bonilla, Theodoros Damoulas, and Sally Cripps

Reference 2

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This paper cites Antoniak.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Antoniak

Reference 3

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This paper cites Classification and clustering for observations of event time data using non-homogeneous Poisson process models.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Classification and clustering for observations of event time data using non-homogeneous Poisson process models

Reference 4

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This paper cites Bishop.Pattern Recognition and Machine Learning.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Bishop.Pattern Recognition and Machine Learning

Reference 5

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This paper cites Variational inference for dirichlet process mixtures.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Variational inference for dirichlet process mixtures

Reference 6

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Observation 9329089f-e2be-4dee-96e8-3792b7d2437a · outbound

This paper cites Blei, Alp Kucukelbir, and Jon D.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Blei, Alp Kucukelbir, and Jon D

Reference 7

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This paper cites Daley and David Vere-Jones.An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Daley and David Vere-Jones.An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods

Reference 8

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This paper cites Springer.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Springer

Reference 9

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This paper cites C-NTPP: Learning cluster-aware neural temporal point process.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes C-NTPP: Learning cluster-aware neural temporal point process

Reference 10

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This paper cites Bayesian nonparametric poisson-process allocation for time-sequence modeling.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Bayesian nonparametric poisson-process allocation for time-sequence modeling

Reference 11

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Observation fc9173b7-5aee-4f61-825c-7ce3f6fe4cba · outbound

This paper cites Efficient bayesian inference of sigmoidal gaussian cox processes.Journal of Machine Learning Research, 19(67):1–34.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Efficient bayesian inference of sigmoidal gaussian cox processes.Journal of Machine Learning Research, 19(67):1–34

Reference 12

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Observation a54cdc6a-0569-4b6d-a618-4dae091c1159 · outbound

This paper cites Ferguson.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Ferguson

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.446000Z

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This paper cites Osborne, and Stephen J.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Osborne, and Stephen J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.451992Z

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This paper cites Bayesian group learning for shot selection of professional basketball players.Stat, 10(1):e324.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Bayesian group learning for shot selection of professional basketball players.Stat, 10(1):e324

Reference 15

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 16

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 17

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This paper cites A bayesian marked spatial point processes model for basketball shot chart.Journal of Quantitative Analysis in Sports, 17(2):77–90.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A bayesian marked spatial point processes model for basketball shot chart.Journal of Quantitative Analysis in Sports, 17(2):77–90

Reference 18

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 19

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This paper cites Jordan, Zoubin Ghahramani, Tommi S.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Jordan, Zoubin Ghahramani, Tommi S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.471091Z

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This paper cites Oxford Studies in Probability.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Oxford Studies in Probability

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.466194Z

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This paper cites Bayesian P-splines.Journal of Computational and Graphical Statistics, 13(1):183–212.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Bayesian P-splines.Journal of Computational and Graphical Statistics, 13(1):183–212

Reference 22

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This paper cites A bayesian mark interaction model for analysis of tumor pathology images.The Annals of Applied Statistics, 13(3):1708–1732.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A bayesian mark interaction model for analysis of tumor pathology images.The Annals of Applied Statistics, 13(3):1708–1732

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.413808Z

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This paper cites an unresolved cited work.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-05-12T04:26:23.036090Z

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Observation 82e8250c-9989-4f63-aeb9-71468f91e981 · outbound

This paper cites Variational inference for gaussian process modulated poisson processes.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Variational inference for gaussian process modulated poisson processes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.436264Z

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Observation 81313cd1-53cb-4b89-8e17-fec33dd16719 · outbound

This paper cites Latent point process allocation.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Latent point process allocation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.439677Z

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This paper cites A., R´egulo, C., Creevey, O.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A., R´egulo, C., Creevey, O

Reference 27

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Observation 825401a9-b45b-4901-b1b4-8e2df57c1fc2 · outbound

This paper cites Factorized point process intensities: A spatial analysis of professional basketball.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Factorized point process intensities: A spatial analysis of professional basketball

Reference 28

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This paper cites doi: https://doi.org/10.1016/j.ijforecast.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes doi: https://doi.org/10.1016/j.ijforecast

Reference 29

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Observation d7f36779-9c74-48fc-998a-dc0a7bc2b0f5 · outbound

This paper cites Møller, A.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Møller, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.478669Z

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This paper cites Chapman and Hall/CRC.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Chapman and Hall/CRC

Reference 31

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 32

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Observation cc40cb67-cec5-4aaf-bcbd-cea4eaa21382 · outbound

This paper cites A Random Finite Set Model for Data Clustering.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A Random Finite Set Model for Data Clustering

Reference 33

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 34

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-12T15:16:39.427037Z

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This paper cites Reich, James S.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Reich, James S

Reference 36

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 37

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Observation 74a7a44d-b416-4a43-9fe5-c401e241280b · outbound

This paper cites A constructive definition of Dirichlet priors.Statistica Sinica, 4:639–650.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A constructive definition of Dirichlet priors.Statistica Sinica, 4:639–650

Reference 38

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Observation cb4117a8-e5c9-4d71-8cd6-2bba188c7f5a · outbound

This paper cites Illian, Finn Lindgren, Sigrunn H.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Illian, Finn Lindgren, Sigrunn H

Reference 39

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This paper cites Nathoo, and Timothy D.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Nathoo, and Timothy D

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.420575Z

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Observation d3fef620-7498-43ce-86dc-42e5d627ae96 · outbound

This paper cites Wainwright and Michael I.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Wainwright and Michael I

Reference 41

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Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Unresolved cited work

Reference 42

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Observation 44f1cb72-a06d-4d80-a9fc-e0caf26424d0 · outbound

This paper cites A joint analysis for field goal attempts and percentages of professional basketball players: Bayesian nonparametric resource.Journal of Data Science, 21(1):68–86.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A joint analysis for field goal attempts and percentages of professional basketball players: Bayesian nonparametric resource.Journal of Data Science, 21(1):68–86

Reference 43

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Observation 88744a0a-56f6-4fa6-a4f8-92c827a2fdcb · outbound

This paper cites A dirichlet mixture model of hawkes processes for event sequence clustering.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes A dirichlet mixture model of hawkes processes for event sequence clustering

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.491082Z

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Observation fa0ec793-b924-452f-b194-74c8ad003255 · outbound

This paper cites Bayesian nonparametric learning for point processes with spatial homogeneity: A spatial analysis of NBA shot locations.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Bayesian nonparametric learning for point processes with spatial homogeneity: A spatial analysis of NBA shot locations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.417470Z

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Observation 24beea23-bd44-43d5-a94c-60e411222383 · outbound

This paper cites Survival Regression with Accelerated Failure Time Model in XGBoost.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Survival Regression with Accelerated Failure Time Model in XGBoost

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:26:23.033962Z

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Observation 4364fe58-b3bc-469e-b2b7-78d3e0aa3397 · outbound

This paper cites Row-clustering of a point process- valued matrix.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Row-clustering of a point process- valued matrix

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.394722Z

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Observation 54ee4e9a-960a-4467-bb78-605cf21a14db · outbound

This paper cites Learning mixture of neural temporal point processes for multi-dimensional event sequence clustering.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes Learning mixture of neural temporal point processes for multi-dimensional event sequence clustering

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.407773Z

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Observation 00a3255d-cd29-42e7-b3cb-41ae334606fb · outbound

This paper cites [42] jointly analyze shot attempts and field-goal percentages over 12 predefined front-court regions while retaining only players with at least four shots in each region.

Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes [42] jointly analyze shot attempts and field-goal percentages over 12 predefined front-court regions while retaining only players with at least four shots in each region

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:16:39.403725Z

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