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Paper Citation Record · LEDGER

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.22628.

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pith.paper-citation-record.v1
2606.22628 v1

Coverage vector

measured 25 of 25 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

25 of 25 outbound references displayed

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Outbound references

Observation 411bb95b-5fe2-4b74-a116-cdbc89ab5ad7 · outbound

This paper cites Recursive estimation of the covariance matrix of a compound-gaussian process and its application to adaptive cfar detection,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Recursive estimation of the covariance matrix of a compound-gaussian process and its application to adaptive cfar detection,

Reference 1

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Observation 144e596a-3b07-4516-bcb9-d294e14f04b0 · outbound

This paper cites Exact maximum likelihood estimates for sirv covariance matrix: Existence and algorithm analysis,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Exact maximum likelihood estimates for sirv covariance matrix: Existence and algorithm analysis,

Reference 2

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Observation f4800692-63c6-4b8f-bb9f-99978f6804b8 · outbound

This paper cites Delmas, M.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Delmas, M

Reference 3

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Observation 3fe4e417-e916-4221-aa14-06701e6e1716 · outbound

This paper cites Co- variance structure maximum-likelihood estimates in compound Gaussian noise,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Co- variance structure maximum-likelihood estimates in compound Gaussian noise,

Reference 4

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Observation aa795050-19c3-46a6-a222-f51d32633336 · outbound

This paper cites A distribution-free M-estimator of multivariate scatter,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series A distribution-free M-estimator of multivariate scatter,

Reference 5

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Observation 43ff4040-464c-47a8-8444-56ea36c96047 · outbound

This paper cites Matched and mismatched estimation of kronecker product of linearly structured scatter matrices under elliptical distributions,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Matched and mismatched estimation of kronecker product of linearly structured scatter matrices under elliptical distributions,

Reference 6

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Observation 63d4f0cc-117a-45a1-833c-579106daa8c9 · outbound

This paper cites Detection methods based on structured covariance matrices for multivariate sar images processing,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Detection methods based on structured covariance matrices for multivariate sar images processing,

Reference 7

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Observation b8b43b7f-390d-4ca5-a857-59ea30277477 · outbound

This paper cites Spatio-temporal filling of missing points in geophysical data sets,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Spatio-temporal filling of missing points in geophysical data sets,

Reference 8

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Observation 025c4e29-130d-4086-8c3a-19799293f1f1 · outbound

This paper cites Predicting missing values in spatio-temporal remote sensing data,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Predicting missing values in spatio-temporal remote sensing data,

Reference 9

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Observation 5aee8a1c-a52b-43ec-ac81-780d862a487c · outbound

This paper cites Eof calculations and data filling from incomplete oceanographic datasets,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Eof calculations and data filling from incomplete oceanographic datasets,

Reference 10

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Observation 64c2ab17-0f40-452f-bc00-2ab90f5ecb0a · outbound

This paper cites Em-eof: Gap-filling in incom- plete sar displacement time series,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Em-eof: Gap-filling in incom- plete sar displacement time series,

Reference 11

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Observation b09734d3-15a2-48c5-8c6a-c1d2eddee3e5 · outbound

This paper cites Robust low-rank covariance matrix estimation with a general pattern of missing values,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Robust low-rank covariance matrix estimation with a general pattern of missing values,

Reference 12

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Observation 020a2cbd-8a47-4ce7-be2c-e65104489dae · outbound

This paper cites an unresolved cited work.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Unresolved cited work

Reference 13

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Observation cac7a68e-1385-424f-b5d6-301a3cd48303 · outbound

This paper cites Robust covariance and scatter matrix estimation under hubers contamination model,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Robust covariance and scatter matrix estimation under hubers contamination model,

Reference 14

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Observation 31177b09-5ea9-42df-ae15-7a32f5360f88 · outbound

This paper cites Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches,

Reference 15

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Observation dfba3b25-f0ba-457e-a38c-e853d79e76b9 · outbound

This paper cites Robust inference with incompleteness for logistic regression model,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Robust inference with incompleteness for logistic regression model,

Reference 16

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Observation 9670ae78-3265-44aa-90fb-7a7953c716fd · outbound

This paper cites Maximum likelihood from incomplete data via the em algorithm,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Maximum likelihood from incomplete data via the em algorithm,

Reference 17

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Observation c5ced04d-18d1-4cf1-8058-553795a313ba · outbound

This paper cites Complex elliptically symmetric distributions: Survey, new results and applications,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Complex elliptically symmetric distributions: Survey, new results and applications,

Reference 18

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Observation e0ea533b-0508-40e1-bc7a-4fbbec46d079 · outbound

This paper cites A generalization of Tyler’s M-estimators to the case of incomplete data,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series A generalization of Tyler’s M-estimators to the case of incomplete data,

Reference 19

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Observation 81cbced8-5608-479d-8215-2e744f07b469 · outbound

This paper cites Regularized tyler’s scatter esti- mator: Existence, uniqueness, and algorithms,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Regularized tyler’s scatter esti- mator: Existence, uniqueness, and algorithms,

Reference 20

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Observation 06886829-a500-4675-8158-8928d909673e · outbound

This paper cites Kotz and S.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Kotz and S

Reference 21

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Observation f871a5d3-6007-4f6d-92f1-b0b61c7551d7 · outbound

This paper cites Handling missing values in exploratory mul- tivariate data analysis methods,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Handling missing values in exploratory mul- tivariate data analysis methods,

Reference 22

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Observation bf848dad-d6b5-4490-b69f-e86d6b8998b5 · outbound

This paper cites Synthetic aperture radar interferometry,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Synthetic aperture radar interferometry,

Reference 23

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Observation 4bba41f4-329c-4bb2-a587-17ead96a1e8f · outbound

This paper cites Decorrelation in interferometric radar echoes,.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Decorrelation in interferometric radar echoes,

Reference 24

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Observation ab4b0ee9-d5c3-401d-9836-7d43a755af67 · outbound

This paper cites an unresolved cited work.

Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series Unresolved cited work

Reference 25

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