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Paper Citation Record · LEDGER

Assessing model calibration with boosting trees

As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.08084.

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

pith.paper-citation-record.v1
2606.08084 v1

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Outbound references

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees (2018).CASdatasetsRpackage vignette.Reference manual

Reference 8

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This paper cites Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice.

Assessing model calibration with boosting trees Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice

Reference 9

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Data Mining, Inference, and Prediction

Reference 16

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Assessing model calibration with boosting trees W., Lemeshow, S

Reference 18

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Assessing model calibration with boosting trees (2004).Probability essentials.2nd ed

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Assessing model calibration with boosting trees H., Winkler, R

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Assessing model calibration with boosting trees The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees Unresolved cited work

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Assessing model calibration with boosting trees (2023).Statistical Foundations of Actuarial Learning and its Applica- tions.Springer Actuarial.https://link.springer.com/book/10.1007/978-3-031-12409-9 15

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Assessing model calibration with boosting trees This can be explained by two different factors

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