Paper Citation Record · LEDGER

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.01763.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.01763 v2

Coverage vector

measured 38 of 38 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 68e0d7f9-24a9-4df9-86a3-d6d116de199a · outbound

This paper cites Bachl, Finn Lindgren, David L.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Bachl, Finn Lindgren, David L

Reference 1

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This paper cites Residual analysis for spatial point processes (with discussion).

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Residual analysis for spatial point processes (with discussion)

Reference 2

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Observation 4fa5ae7c-26b8-4380-97e2-f0be170389b6 · outbound

This paper cites Approximating point process likelihoods with glim.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Approximating point process likelihoods with glim

Reference 3

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This paper cites High-performance computing with terastat.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians High-performance computing with terastat

Reference 4

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This paper cites Spatiotemporal prediction for log-gaussian cox processes.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Spatiotemporal prediction for log-gaussian cox processes

Reference 5

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This paper cites Assessment of the impact of salvaging the costa concordia wreck on the deep coralligenous habitats.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Assessment of the impact of salvaging the costa concordia wreck on the deep coralligenous habitats

Reference 6

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This paper cites A cross-validation-based statistical theory for point processes.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians A cross-validation-based statistical theory for point processes

Reference 7

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This paper cites Combining rov-based acoustic data and underwater photogrammetry to characterize hakon mosby mud volcano (barents sea) cold seep systems.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Combining rov-based acoustic data and underwater photogrammetry to characterize hakon mosby mud volcano (barents sea) cold seep systems

Reference 8

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This paper cites Bayesian inference and computing for spatial point patterns.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Bayesian inference and computing for spatial point patterns

Reference 9

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This paper cites Strictly proper scoring rules, prediction, and esti- mation.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Strictly proper scoring rules, prediction, and esti- mation

Reference 10

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This paper cites Assessment of sea cucumber populations from the aegean sea (turkey): First insights to sustainable management of new fisheries.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Assessment of sea cucumber populations from the aegean sea (turkey): First insights to sustainable management of new fisheries

Reference 11

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This paper cites Global knowledge on the commercial sea cucumber holothuria scabra.Advances in marine biology , 91:1–286, 2022.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Global knowledge on the commercial sea cucumber holothuria scabra.Advances in marine biology , 91:1–286, 2022

Reference 12

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This paper cites Evaluating probabilistic forecasts with scoringrules.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Evaluating probabilistic forecasts with scoringrules

Reference 13

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This paper cites Predictive inference based on markov chain monte carlo output.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Predictive inference based on markov chain monte carlo output

Reference 14

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This paper cites Bayesian inference and model assessment for spatial point patterns using posterior predictive samples.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Bayesian inference and model assessment for spatial point patterns using posterior predictive samples

Reference 15

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Unresolved cited work

Reference 16

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This paper cites Ecology of deposit-feeding animals in marine sediments.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Ecology of deposit-feeding animals in marine sediments

Reference 17

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This paper cites Impact of the costa concordia shipwreck on a posidonia oceanica meadow: A multi-scale assessment from a population to a landscape level.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Impact of the costa concordia shipwreck on a posidonia oceanica meadow: A multi-scale assessment from a population to a landscape level

Reference 18

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This paper cites Transplantation on a posidonia oceanica meadow to facilitate its recovery after the concordia shipwrecking.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Transplantation on a posidonia oceanica meadow to facilitate its recovery after the concordia shipwrecking

Reference 19

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This paper cites Integration of presence-only data from several sources: a case study on dolphins’ spatial distribution.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Integration of presence-only data from several sources: a case study on dolphins’ spatial distribution

Reference 20

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This paper cites Species distribution models with masking: The case of holothurians in a posidonia rich area.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Species distribution models with masking: The case of holothurians in a posidonia rich area

Reference 21

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Scoring rules for continuous probability distribu- tions

Reference 22

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Statistical rethinking: A Bayesian course with examples in R and Stan

Reference 23

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Log gaussian cox processes

Reference 24

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Unresolved cited work

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Ecological roles of exploited sea cucumbers

Reference 26

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Mediterranean sea cucumbers—biology, ecology, and exploitation

Reference 27

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations

Reference 28

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Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Inorganic carbon turnover caused by digestion of carbonate sands and metabolic activity of holothurians

Reference 29

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This paper cites Spatio-temporal log-gaussian cox processes for modelling wildfire occurrence: the case of catalonia, 1994–2008.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Spatio-temporal log-gaussian cox processes for modelling wildfire occurrence: the case of catalonia, 1994–2008

Reference 30

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This paper cites Accounting for spatial varying sampling effort due to accessibility in citizen science data: A case study of moose in norway.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Accounting for spatial varying sampling effort due to accessibility in citizen science data: A case study of moose in norway

Reference 31

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This paper cites Going off grid: Computationally efficient inference for log-gaussian cox processes.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Going off grid: Computationally efficient inference for log-gaussian cox processes

Reference 32

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This paper cites Penalising model component complexity: a principled, practical approach to constructing priors.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Penalising model component complexity: a principled, practical approach to constructing priors

Reference 33

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This paper cites Seagrass posidonia oceanica (l.) delile as a marine biomarker: a metabolomic and toxicological analysis.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Seagrass posidonia oceanica (l.) delile as a marine biomarker: a metabolomic and toxicological analysis

Reference 34

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This paper cites High spatial resolution underwater data for mapping seagrass transplantation: A powerful tool for visualization and analysis.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians High spatial resolution underwater data for mapping seagrass transplantation: A powerful tool for visualization and analysis

Reference 35

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This paper cites Detecting habitat preferences and monitoring population dynamics of sea cucumbers in coastal ecosystems through underwater photogrammetry.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Detecting habitat preferences and monitoring population dynamics of sea cucumbers in coastal ecosystems through underwater photogrammetry

Reference 36

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This paper cites Poisson point process models solve the” pseudo-absence problem” for presence-only data in ecology.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Poisson point process models solve the” pseudo-absence problem” for presence-only data in ecology

Reference 37

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This paper cites Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales.

Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

Reference 38

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