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Paper Citation Record · LEDGER

A penalized least squares estimator for extreme-value mixture models

As of 4 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2506.15272.

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pith.paper-citation-record.v1
2506.15272 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

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measured 37 of 37 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 162100e9-e571-42b2-b87b-24176b66563f · outbound

This paper cites John Wiley & Sons.

A penalized least squares estimator for extreme-value mixture models John Wiley & Sons

Reference 1

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This paper cites Bias- corrected estimation of stable tail dependence function.Journal of Multivariate Analysis, 143:453–466.

A penalized least squares estimator for extreme-value mixture models Bias- corrected estimation of stable tail dependence function.Journal of Multivariate Analysis, 143:453–466

Reference 2

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This paper cites Package ‘mev’.

A penalized least squares estimator for extreme-value mixture models Package ‘mev’

Reference 3

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Observation 7ab4b78a-5ad1-4498-9ac9-b0652239692c · outbound

This paper cites Clustering of maxima: Spatial dependencies among heavy rainfall in France.Journal of climate, 26(20):7929–7937.

A penalized least squares estimator for extreme-value mixture models Clustering of maxima: Spatial dependencies among heavy rainfall in France.Journal of climate, 26(20):7929–7937

Reference 4

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This paper cites Flood history of the Danube tributaries Lech and Isar in the Alpine foreland of Germany.Hydrological Sciences Journal, 51(5):784–798.

A penalized least squares estimator for extreme-value mixture models Flood history of the Danube tributaries Lech and Isar in the Alpine foreland of Germany.Hydrological Sciences Journal, 51(5):784–798

Reference 5

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This paper cites Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu.

A penalized least squares estimator for extreme-value mixture models Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu

Reference 6

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Observation 52ef0561-f671-4a5b-930e-8dc2653b304d · outbound

This paper cites An introduction to statistical modeling of extreme values, volume 208.

A penalized least squares estimator for extreme-value mixture models An introduction to statistical modeling of extreme values, volume 208

Reference 7

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Observation a821ab87-4e66-4674-99be-b62d0130d4bc · outbound

This paper cites Springer.

A penalized least squares estimator for extreme-value mixture models Springer

Reference 8

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Observation 82c032f7-f674-4c6b-9b91-716810ef7aa2 · outbound

This paper cites Exact simulation of max-stable processes.

A penalized least squares estimator for extreme-value mixture models Exact simulation of max-stable processes

Reference 9

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This paper cites Best attainable rates of convergence for estimators of the stable tail dependence function.Journal of Multivariate Analysis, 64(1):25–46.

A penalized least squares estimator for extreme-value mixture models Best attainable rates of convergence for estimators of the stable tail dependence function.Journal of Multivariate Analysis, 64(1):25–46

Reference 10

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Observation 23e0db0c-ef17-4042-81e8-edd9f2140bd6 · outbound

This paper cites An M-estimator for tail dependence in arbitrary dimensions.

A penalized least squares estimator for extreme-value mixture models An M-estimator for tail dependence in arbitrary dimensions

Reference 11

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This paper cites A continuous updating weighted least squares estimator of tail dependence in high dimensions.Extremes, 21:205–233.

A penalized least squares estimator for extreme-value mixture models A continuous updating weighted least squares estimator of tail dependence in high dimensions.Extremes, 21:205–233

Reference 12

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This paper cites Package ‘graphicalExtremes’.

A penalized least squares estimator for extreme-value mixture models Package ‘graphicalExtremes’

Reference 13

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This paper cites Extremes of structural causal models.

A penalized least squares estimator for extreme-value mixture models Extremes of structural causal models

Reference 14

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Observation 05f0acd0-fc5b-4444-90d2-4437dc96cffe · outbound

This paper cites Dense classes of multivariate extreme value distributions.

A penalized least squares estimator for extreme-value mixture models Dense classes of multivariate extreme value distributions

Reference 15

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This paper cites John Wiley & Sons.

A penalized least squares estimator for extreme-value mixture models John Wiley & Sons

Reference 16

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This paper cites Sparse representation of multivariateextremeswithapplicationstoanomalydetection.

A penalized least squares estimator for extreme-value mixture models Sparse representation of multivariateextremeswithapplicationstoanomalydetection

Reference 17

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This paper cites Composite likelihood estimation for the Brown–Resnick process.Biometrika, 100(2):511–518.

A penalized least squares estimator for extreme-value mixture models Composite likelihood estimation for the Brown–Resnick process.Biometrika, 100(2):511–518

Reference 18

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Observation e75b6e01-2dad-4cd0-86f0-70a66ab565e9 · outbound

This paper cites Maxima of normal random vectors: Between independence and complete dependence.

A penalized least squares estimator for extreme-value mixture models Maxima of normal random vectors: Between independence and complete dependence

Reference 19

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This paper cites Rousseeuw.Finding groups in data: an introduction to cluster analysis.

A penalized least squares estimator for extreme-value mixture models Rousseeuw.Finding groups in data: an introduction to cluster analysis

Reference 20

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This paper cites Vignette for the tailDepFun package.

A penalized least squares estimator for extreme-value mixture models Vignette for the tailDepFun package

Reference 21

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Observation fa565355-d1a2-4c60-b872-a5e54acbc864 · outbound

This paper cites Hypothesis testing for tail dependence parameters on the boundary of the parameter space.Econometrics and Statistics, 16:121–135.

A penalized least squares estimator for extreme-value mixture models Hypothesis testing for tail dependence parameters on the boundary of the parameter space.Econometrics and Statistics, 16:121–135

Reference 22

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This paper cites Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory.The Annals of Applied Statistics.

A penalized least squares estimator for extreme-value mixture models Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory.The Annals of Applied Statistics

Reference 23

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This paper cites An estimator of the stable tail dependence function based on the empirical beta copula.Extremes, 21:581–600.

A penalized least squares estimator for extreme-value mixture models An estimator of the stable tail dependence function based on the empirical beta copula.Extremes, 21:581–600

Reference 24

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This paper cites Neural networks for parameter estimation in intractable models.Computational Statistics & Data Analysis, 185:107762.

A penalized least squares estimator for extreme-value mixture models Neural networks for parameter estimation in intractable models.Computational Statistics & Data Analysis, 185:107762

Reference 25

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This paper cites Multivariate sparse clustering for extremes.

A penalized least squares estimator for extreme-value mixture models Multivariate sparse clustering for extremes

Reference 26

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Observation 2524abe7-270f-4cff-a4fb-19a5350e3406 · outbound

This paper cites Multivariate generalized Pareto distributions along extreme directions.Extremes, pages 1–34.

A penalized least squares estimator for extreme-value mixture models Multivariate generalized Pareto distributions along extreme directions.Extremes, pages 1–34

Reference 27

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This paper cites Likelihood-based inference for max-stable processes.Journal of the American Statistical Association, 105(489): 263–277.

A penalized least squares estimator for extreme-value mixture models Likelihood-based inference for max-stable processes.Journal of the American Statistical Association, 105(489): 263–277

Reference 28

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This paper cites Neural bayes estimators for censored inference with peaks-over-threshold models.

A penalized least squares estimator for extreme-value mixture models Neural bayes estimators for censored inference with peaks-over-threshold models

Reference 29

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This paper cites Multivariate generalized Pareto distributions.

A penalized least squares estimator for extreme-value mixture models Multivariate generalized Pareto distributions

Reference 30

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This paper cites Inequalities for the extremal coefficients of multivariate extreme value distributions.Extremes, 5:87–102.

A penalized least squares estimator for extreme-value mixture models Inequalities for the extremal coefficients of multivariate extreme value distributions.Extremes, 5:87–102

Reference 31

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Observation 7d10e710-dcb4-4a28-b9b9-fa63df35a1da · outbound

This paper cites Determining the dependence structure of multivariate extremes.Biometrika, 107(3):513–532.

A penalized least squares estimator for extreme-value mixture models Determining the dependence structure of multivariate extremes.Biometrika, 107(3):513–532

Reference 32

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This paper cites Simulating multivariate extreme value distributions of logistic type.

A penalized least squares estimator for extreme-value mixture models Simulating multivariate extreme value distributions of logistic type

Reference 33

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Observation 4d669e98-e570-4b82-acf4-251d8c4f41ce · outbound

This paper cites an unresolved cited work.

A penalized least squares estimator for extreme-value mixture models Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T09:27:21.892897Z digest=sha256:28a57fcfafbda1724b2c4157d6eded5bdd11821eb0be3cddd349507cbe09ba3f

Observation c36f909e-373c-4273-9099-ae786d351880 · outbound

This paper cites Modelling multivariate extreme value distributions.Biometrika, 77(2):245–253.

A penalized least squares estimator for extreme-value mixture models Modelling multivariate extreme value distributions.Biometrika, 77(2):245–253

Reference 35

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raw_fallback, observed 2026-05-19T10:03:02.941702Z

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source=pdf_text observed=2026-05-19T09:27:21.892897Z digest=sha256:dfbf9af809e530c15e7de35918464c0e9f71ed8439f2a8f5b30fc27ae5748483

Observation b7503f74-ec87-40bf-9dd0-3f0b76fbe6b5 · outbound

This paper cites Conditional sampling for spectrally discrete max-stable random fields.Advances in Applied Probability, 43(2):461–483.

A penalized least squares estimator for extreme-value mixture models Conditional sampling for spectrally discrete max-stable random fields.Advances in Applied Probability, 43(2):461–483

Reference 36

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verified fuzzy
raw_fallback, observed 2026-05-19T10:03:02.938241Z

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Pith citing papers

Observation 00e828f5-9992-4b47-b75a-ad5900146238 · inbound

Estimating the H\"usler--Reiss variogram matrix by clipped moments cites this paper.

Estimating the H\"usler--Reiss variogram matrix by clipped moments A penalized least squares estimator for extreme-value mixture models

Reference 46

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no resolver link, observed 2026-08-01T12:09:23.154532Z

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