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Paper Citation Record · LEDGER

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling

As of 17 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2608.10161.

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

pith.paper-citation-record.v1
2608.10161 v1

Coverage vector

measured 89 of 89 reference resolution

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measured 89 of 89 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

89 of 89 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f99c60bf-c40b-4d45-97f9-9d801af8448d · outbound

This paper cites Allen and Robert Tibshirani.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Allen and Robert Tibshirani

Reference 1

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Observation 6e7c9f1b-bf75-4922-8f4a-8c327b94dfc4 · outbound

This paper cites Tensor decompositions for learning latent variable models.J.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Tensor decompositions for learning latent variable models.J

Reference 2

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Observation af981173-0a08-43d3-8a09-6b2485ce4ec5 · outbound

This paper cites A method of moments for mixture models and hidden markov models.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling A method of moments for mixture models and hidden markov models

Reference 3

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Observation 0be7e6b9-2f89-4822-8d82-984531033ca7 · outbound

This paper cites Anderson.An Introduction to Multivariate Statistical Analysis.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Anderson.An Introduction to Multivariate Statistical Analysis

Reference 4

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Observation eaada6ac-8b25-41d4-a722-efb852a86f71 · outbound

This paper cites Ashley, Douglas M.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Ashley, Douglas M

Reference 5

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Observation 30dc9507-f753-43a9-8c0e-85c59cd87a73 · outbound

This paper cites Large-dimensional independent component analysis: Sta- tistical optimality and computational tractability.The Annals of Statistics, 53(2):477–505, 2025.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Large-dimensional independent component analysis: Sta- tistical optimality and computational tractability.The Annals of Statistics, 53(2):477–505, 2025

Reference 6

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Observation f7eb6407-416c-4f32-a89d-28732a26c651 · outbound

This paper cites Ilmoniemi, Gian Luca Romani, Vittorio Pizzella, and Laura Marzetti.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Ilmoniemi, Gian Luca Romani, Vittorio Pizzella, and Laura Marzetti

Reference 7

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Observation e1e3d960-c2fb-4363-aaaa-3cc69a3ac7ea · outbound

This paper cites Bickel and Elizaveta Levina.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Bickel and Elizaveta Levina

Reference 8

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Observation 28c3c661-a8eb-44e6-8c89-3cb74d016617 · outbound

This paper cites Brillinger.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Brillinger

Reference 9

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Observation 8c28b710-9b0e-4caa-ae07-5ad49816b7f5 · outbound

This paper cites Brillinger.Time Series: Data Analysis and Theory.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Brillinger.Time Series: Data Analysis and Theory

Reference 10

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Observation 7015316c-dfce-4d11-b7f2-f10910d66320 · outbound

This paper cites Brockwell and Richard A.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Brockwell and Richard A

Reference 11

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Observation 5ef81efe-187f-46cf-ad2a-f8f1d5180b21 · outbound

This paper cites Buccino, Cole L.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Buccino, Cole L

Reference 12

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Observation 39a9117a-6f72-45f8-8f3e-e2a53c13dab6 · outbound

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

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu

Reference 13

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Observation 843ac255-e0b2-4462-bf77-2f5bc0c11877 · outbound

This paper cites Tony Cai, Zhao Ren, and Harrison H.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Tony Cai, Zhao Ren, and Harrison H

Reference 14

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Observation 847c0f45-a82f-4d6e-b53d-029e2bd330da · outbound

This paper cites Tony Cai, Cun-Hui Zhang, and Harrison H.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Tony Cai, Cun-Hui Zhang, and Harrison H

Reference 15

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Observation 7b063efa-df29-4d45-8d19-b4f367c69a81 · outbound

This paper cites Tony Cai and Harrison H.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Tony Cai and Harrison H

Reference 16

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Observation 789ee205-66c9-4f15-aaba-e777ae7d3a0d · outbound

This paper cites High-order contrasts for independent component analysis.Neural Computation, 11(1):157–192, 1999.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling High-order contrasts for independent component analysis.Neural Computation, 11(1):157–192, 1999

Reference 17

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Observation 0773522c-e5e6-4c39-bfb2-a8ff2c184ca5 · outbound

This paper cites Blind beamforming for non-gaussian sig- nals.IEE Proceedings F: Radar and Signal Processing, 140(6):362–370, 1993.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Blind beamforming for non-gaussian sig- nals.IEE Proceedings F: Radar and Signal Processing, 140(6):362–370, 1993

Reference 18

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Observation 7430ea77-e2f1-487e-8ff2-78cd8b14f738 · outbound

This paper cites Stability and asymptotics for autoregressive processes.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Stability and asymptotics for autoregressive processes

Reference 19

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Observation 6675d183-0fbf-4c18-bb4e-c465563b3dbe · outbound

This paper cites Independent component analysis, a new concept?Signal processing, 36(3):287–314, 1994.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Independent component analysis, a new concept?Signal processing, 36(3):287–314, 1994

Reference 20

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Observation 8150644d-d097-4a92-afb0-660a0e18df53 · outbound

This paper cites A multilinear singular value decomposition.SIAM Journal on Matrix Analysis and Applications, 21(4):1253–1278, 2000.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling A multilinear singular value decomposition.SIAM Journal on Matrix Analysis and Applications, 21(4):1253–1278, 2000

Reference 21

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Observation 24e73414-5868-472a-969a-3289881497da · outbound

This paper cites The MLE algorithm for the matrix normal distribution.Journal of Sta- tistical Computation and Simulation, 64(2):105–123, 1999.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling The MLE algorithm for the matrix normal distribution.Journal of Sta- tistical Computation and Simulation, 64(2):105–123, 1999

Reference 22

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Observation 2f0474a8-450c-4573-98aa-fb8054f8501d · outbound

This paper cites Asymptotically optimal estimation of ma and arma parameters of non-gaussian processes from high-order moments.IEEE Transactions on Automatic Control, 35(1):27–35, 1990.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Asymptotically optimal estimation of ma and arma parameters of non-gaussian processes from high-order moments.IEEE Transactions on Automatic Control, 35(1):27–35, 1990

Reference 23

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Observation b2b85664-1fbf-42e4-b006-6e3105afbb04 · outbound

This paper cites Giannakis.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Giannakis

Reference 24

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Observation 61fb15ad-d4a5-4b27-9d5d-8c17f2b200d2 · outbound

This paper cites Giannakis, Yoshio Inouye, and Jerry M.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Giannakis, Yoshio Inouye, and Jerry M

Reference 25

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Observation f23c45ee-1310-4804-a546-fb736ea00944 · outbound

This paper cites Bandwidth selection in kernel density esti- mation: Oracle inequalities and adaptive minimax optimality.The Annals of Statistics, 39(3):1608–1632, 2011.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Bandwidth selection in kernel density esti- mation: Oracle inequalities and adaptive minimax optimality.The Annals of Statistics, 39(3):1608–1632, 2011

Reference 26

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Observation 45185597-e37c-4fe8-b9d7-4e71c5d66266 · outbound

This paper cites Minimum distance estimation of possibly noninvertible moving average models.Journal of Business & Economic Statistics, 33(3):403–417, 2015.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Minimum distance estimation of possibly noninvertible moving average models.Journal of Business & Economic Statistics, 33(3):403–417, 2015

Reference 27

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Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 28

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Observation 933b0d41-7d3c-466e-8516-dfd4746ff687 · outbound

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Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 29

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Observation 88e8ab4b-7e98-4865-b915-142d8718c470 · outbound

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Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 30

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Observation 898d0f6b-8d18-4ed1-920b-7b023c35ce8e · outbound

This paper cites Concentration inequalities for polyno- mials inα-sub-exponential random variables.Electronic Journal of Probability, 26(none):1– 22, January 2021.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Concentration inequalities for polyno- mials inα-sub-exponential random variables.Electronic Journal of Probability, 26(none):1– 22, January 2021

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Observation adfe5cba-033f-42b3-b843-7c82805fbb42 · outbound

This paper cites Hamilton.Time Series Analysis.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Hamilton.Time Series Analysis

Reference 32

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Observation 17b72536-c2cf-479e-83ea-9a825ba9f68e · outbound

This paper cites Platten, Jan R.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Platten, Jan R

Reference 33

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Observation bbaf650d-c18a-4270-8f91-a7819d144801 · outbound

This paper cites Hillar and Lek-Heng Lim.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Hillar and Lek-Heng Lim

Reference 34

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Observation 47fbaac6-3a2c-4807-b56e-51a465bf9719 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 35

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Observation 448912d0-def7-40d7-af42-1eaefab1ef86 · outbound

This paper cites Hinich and G.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Hinich and G

Reference 36

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Observation d6bcafa0-94f0-4989-bb1a-99c7322e056f · outbound

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Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 37

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Observation c3df6d5f-e26e-4883-a2f6-3d4a10a615a0 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 38

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Observation 54b422ac-bd74-452b-ad90-913cabc11251 · outbound

This paper cites Wiley, New York, 2001.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Wiley, New York, 2001

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Observation 77982efe-7120-4e89-9a94-b139ea74997e · outbound

This paper cites RR interval time series from healthy subjects, 2021.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling RR interval time series from healthy subjects, 2021

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Observation bbf1853b-8fda-4d77-a9c5-486e807b7574 · outbound

This paper cites Jolliffe.Principal Component Analysis.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Jolliffe.Principal Component Analysis

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Observation fc76a116-bb23-4eca-9689-7d704849bd38 · outbound

This paper cites Jun, Nicholas A.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Jun, Nicholas A

Reference 42

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raw_fallback, observed 2026-08-14T04:23:42.417705Z

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source=pdf_text observed=2026-08-14T04:23:25.820931Z digest=sha256:3b8f71d931a8e95ee4b4f84f68c0957f037163acc51bf01f30f602f6a0f09a79

Observation 8ff92c3d-3449-4975-92e7-5bd8d58a409c · outbound

This paper cites Kolda and Brett W.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Kolda and Brett W

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source=pdf_text observed=2026-08-14T04:23:25.852350Z digest=sha256:3e4c9868b8bf861368213f3d447f904b52ded17b2dcf62e56fe3359bec277b91

Observation d4163a2d-c068-42e2-9655-902f3ab8d534 · outbound

This paper cites Concentration inequalities and moment bounds for sample covariance operators.Bernoulli, pages 110–133, 2017.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Concentration inequalities and moment bounds for sample covariance operators.Bernoulli, pages 110–133, 2017

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source=pdf_text observed=2026-08-14T04:23:25.904728Z digest=sha256:2d8f4f217a74ba562dd60697eab74965c72c42a7e873cf90f36d06e2f2839540

Observation 1198c653-67d2-4820-ae20-9b41f9daae2c · outbound

This paper cites Two decades of array signal processing research: The parametric approach.IEEE Signal Processing Magazine, 13(4):67–94, 1996.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Two decades of array signal processing research: The parametric approach.IEEE Signal Processing Magazine, 13(4):67–94, 1996

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source=pdf_text observed=2026-08-14T04:23:25.962305Z digest=sha256:9ee8acfa0de6acf0fb080257d51b5accbcd8de40a52d82050ed00995e6191f34

Observation 8faa43b0-09a3-4436-94f8-91bc8d7642ab · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 46

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.009833Z digest=sha256:352a0f591dd8c528e01fae2b3afc145e6fdbbb70e32c156e632e6fc8abbd2fce

Observation 9ecb8a7a-7798-4d3d-868a-107dbac2d664 · outbound

This paper cites Deconvolution and estimation of transfer function phase and coefficients for nongaussian linear processes.The Annals of Statistics, 10(4):1195– 1208, 1982.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Deconvolution and estimation of transfer function phase and coefficients for nongaussian linear processes.The Annals of Statistics, 10(4):1195– 1208, 1982

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raw_fallback, observed 2026-08-14T04:23:42.339845Z

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source=pdf_text observed=2026-08-14T04:23:26.070736Z digest=sha256:55722a484b32332b116c09b2e68152a38eb461da52769635d5d3c3272a0a2bfc

Observation 806fcf93-8ff4-4a25-9524-aa3f3bf2b156 · outbound

This paper cites Tensor-on-tensor regression: Riemannian optimization, over-parameterization, statistical-computational gap and their interplay.The Annals of Statistics, 52(6):2583–2612, 2024.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Tensor-on-tensor regression: Riemannian optimization, over-parameterization, statistical-computational gap and their interplay.The Annals of Statistics, 52(6):2583–2612, 2024

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Observation a23ff21b-ebea-4057-b1f9-65b7c8229df6 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 49

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Observation 4fd6e4ac-fd62-40cf-96bf-750564c0dc16 · outbound

This paper cites Chapman and Hall, London, 1987.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Chapman and Hall, London, 1987

Reference 50

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source=pdf_text observed=2026-08-14T04:23:26.209324Z digest=sha256:e4220c51c4439a8386d14fe16a0ebe7fc527cfb428a4fa151cf88ba56c8ee809

Observation 6478724e-57c5-475e-b1c9-5f77a6468729 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 51

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Observation e1c9423c-01c7-4464-87cd-fc8fba0bd710 · outbound

This paper cites Muirhead.Aspects of Multivariate Statistical Theory.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Muirhead.Aspects of Multivariate Statistical Theory

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source=pdf_text observed=2026-08-14T04:23:26.274768Z digest=sha256:e11690dc623e79ce21faab4a9ecefaab030f4ae4e7fd0ace0e5b46ff86e71c69

Observation d3a88da7-9b9b-4cf5-b7fe-e81a664e9d66 · outbound

This paper cites Nikias and Jerry M.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Nikias and Jerry M

Reference 53

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Observation c708cef3-4503-4e2a-814a-e598694cd641 · outbound

This paper cites Nikias and Athina P.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Nikias and Athina P

Reference 54

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Observation a247e9c3-f095-4028-82e6-71068e0f606a · outbound

This paper cites Nikias and M.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Nikias and M

Reference 55

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raw_fallback, observed 2026-08-14T04:23:42.202522Z

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Observation 91edf193-5088-4276-bdde-b0e2f174b3f8 · outbound

This paper cites Wright.Numerical Optimization.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Wright.Numerical Optimization

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source=pdf_text observed=2026-08-14T04:23:26.438930Z digest=sha256:01113a00c021ef006b1a681898e08f79334d7263aaf17b320d8ec65d54f7663b

Observation c766b8c1-4190-40d7-8a04-dd9c19b7821d · outbound

This paper cites Independent component analysis: A statistical per- spective.Wiley Interdisciplinary Reviews: Computational Statistics, 10(5):e1440, 2018.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Independent component analysis: A statistical per- spective.Wiley Interdisciplinary Reviews: Computational Statistics, 10(5):e1440, 2018

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.480683Z digest=sha256:a84a0500d7f0bb0834cdf5c99c1188e8e29a1cd64eea38ba6784b569cbd80d82

Observation 6c969bce-2df7-4407-83de-af66ad5bb081 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 58

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d301f0a6-318b-4962-a781-ac00039a55af · outbound

This paper cites Parker, Scott H.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Parker, Scott H

Reference 59

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raw_fallback, observed 2026-08-14T04:23:42.128911Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.564804Z digest=sha256:30ea1241bfe5e580dc3f0a6a55739e859e6d389e8e4e481eb9c8fa0f18373ec0

Observation d23c8c00-c25c-407c-a694-df8f3470bac2 · outbound

This paper cites Structured co- variance estimation via tensor-train decomposition.arXiv preprint arXiv:2510.08174, 2025.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Structured co- variance estimation via tensor-train decomposition.arXiv preprint arXiv:2510.08174, 2025

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 82ccd346-436d-4e27-ac5f-52a70ddd1386 · outbound

This paper cites Contributions to the mathematical theory of evolution.Philosophical Trans- actions of the Royal Society of London.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Contributions to the mathematical theory of evolution.Philosophical Trans- actions of the Royal Society of London

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Observation c5f15957-2cd2-4ea2-89ab-f84badf6e164 · outbound

This paper cites Petropulu.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Petropulu

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:42.095305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.678228Z digest=sha256:c4b111afcca418481645b10bbcb636b05c19ecd978bb82c8aebe20037a9382ba

Observation 111d028d-3350-4ed5-97db-6833fa17accf · outbound

This paper cites Petropulu and Chrysostomos L.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Petropulu and Chrysostomos L

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:42.077143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.734541Z digest=sha256:c37bf24d041227fe5f0f31c4242b97126c45e7eef5af6f85bf33c07d414a905e

Observation 90adeb5a-d520-405d-9dfc-70f6dfb781e7 · outbound

This paper cites Dimension-free structured covariance estimation.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Dimension-free structured covariance estimation

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:42.057275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.780221Z digest=sha256:cd242e055c6972ba6173f1fa1be1c78f439a10d2af193159e7c207424d270633

Observation 6c1bfd49-7aec-43e9-b1be-f74ca5635f09 · outbound

This paper cites Provable online CP/PARAF AC decom- position of a structured tensor via dictionary learning.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Provable online CP/PARAF AC decom- position of a structured tensor via dictionary learning

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:42.040928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.810679Z digest=sha256:c060d2773ffa9bbec5a0ec27bb0fc09dc5934b3eb0220b4e24c3fab387d4730a

Observation 8a70442c-7e0a-47a7-aac7-aa86fa2ae1a9 · outbound

This paper cites ESPRIT: Estimation of signal parameters via rotational invariance techniques.IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(7):984–995, 1989.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling ESPRIT: Estimation of signal parameters via rotational invariance techniques.IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(7):984–995, 1989

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:42.022174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.835114Z digest=sha256:7fd0cb5fd678423e8e86884d83e6e6c2dfd75509704f776eed3ed58fcf0991da

Observation bac47818-eb15-4074-8ddd-07534c4ee5ce · outbound

This paper cites Krieger Pub- lishing, Malabar, FL, 1989.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Krieger Pub- lishing, Malabar, FL, 1989

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raw_fallback, observed 2026-08-14T04:23:42.002953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.871561Z digest=sha256:19084fd877e4071df991288a037e7e7e6215d97fea24cf0a986d54d38d84e380

Observation 8441fd90-9811-41e4-b012-76516d490875 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 68

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raw_fallback, observed 2026-08-14T04:23:41.981992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:26.918308Z digest=sha256:515ea20ecb59c7218dbbf66abc35fd59acc84ffd8f39a47577a7b5aa9fa32689

Observation 85003481-dc7a-4315-9ae6-90fce1e8a169 · outbound

This paper cites Springer, 2017.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Springer, 2017

Reference 69

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:26.968301Z digest=sha256:2a2a6ab3eab8dfed458996a27d00367316c9153986bc35859df0ab4fdc66045e

Observation 5b405c64-ee3a-4d64-96ce-7ae28f77dc5f · outbound

This paper cites Shamsunder and Georgios B.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Shamsunder and Georgios B

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.952847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e1f13b12-4fdd-46e3-8add-62a701bc435d · outbound

This paper cites Correct Estimation of Higher-Order Spectra: From Theoretical Challenges to Practical Multi-Channel Implementation in SignalSnap.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Correct Estimation of Higher-Order Spectra: From Theoretical Challenges to Practical Multi-Channel Implementation in SignalSnap

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verified exact
local_arxiv, observed 2026-08-14T04:23:27.909917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.049323Z digest=sha256:083671438f082c3d92f9ef73689890437f32c814e85719c37ff530dbf2323d02

Observation 6cf7e297-13f6-4112-92b2-37dbfb8616de · outbound

This paper cites Cumulants and partition lattices 1.Australian Journal of Statistics, 25(2):378–388, 1983.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Cumulants and partition lattices 1.Australian Journal of Statistics, 25(2):378–388, 1983

Reference 72

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unresolved
no resolver link, observed 2026-08-14T04:23:27.086998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:27.086998Z digest=sha256:1594c41db2ce48e91972fdd292a387cfe8abd8e414a1db56c40d3ac619b87981

Observation 88f15c68-ddb4-4eb3-b872-d58cb80a4881 · outbound

This paper cites Giannakis, and Jerry M.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Giannakis, and Jerry M

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.923385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.111133Z digest=sha256:ee60ca1aaa43db395dbd18b84fa7f506af1d86085906248669a03196d0eb1a9b

Observation e2e5cc91-2f1e-4cad-ba20-c7a4632b8073 · outbound

This paper cites Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence

Reference 74

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unresolved
no resolver link, observed 2026-08-14T04:23:27.144971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:27.144971Z digest=sha256:9ae32385babb814c3289555cf56cbce298e5b407f1b1c9266897b690f646ff82

Observation 5b460a91-e0bf-4d48-90ac-8fc8f473e217 · outbound

This paper cites Detection Is Harder Than Estimation in Certain Regimes: Inference for Moment and Cumulant Tensors.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Detection Is Harder Than Estimation in Certain Regimes: Inference for Moment and Cumulant Tensors

Reference 75

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unresolved
no resolver link, observed 2026-08-14T04:23:27.175186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3d730405-2f6f-47e4-a229-d71a46daa0df · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 76

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b6ffca8c-a726-448a-98e1-59ae9059fee8 · outbound

This paper cites Springer, New York, 1991.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Springer, New York, 1991

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.891784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.283122Z digest=sha256:cabae461e993355f123e72e208843a9c5c9647f694e6105aae0385a7ee969663

Observation 0f519e47-ac62-4afe-abcc-64441aedf782 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 78

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unresolved
raw_fallback, observed 2026-08-14T04:23:41.871279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a89b6c35-d088-4fa3-a70b-b92a54af48af · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:23:41.852949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.336525Z digest=sha256:938e7132501febf6933f94061bb7d682f8f0818efb31854fd8fb1715aba44e65

Observation 1005bece-22ef-45a7-b7e1-e604a9ce21e9 · outbound

This paper cites Air Quality.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Air Quality

Reference 80

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unresolved
no resolver link, observed 2026-08-14T04:23:27.376303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:27.376303Z digest=sha256:1e07195730ba52274e1b52d757b9a004b38e03c236dca6c61cf637234be53533

Observation ada29c5e-6e2a-46a1-a578-bd36ede06efe · outbound

This paper cites Third-order statistics reconstruction from compressive mea- surements.IEEE Transactions on Signal Processing, 69:2888–2901, 2021.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Third-order statistics reconstruction from compressive mea- surements.IEEE Transactions on Signal Processing, 69:2888–2901, 2021

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.836105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.406522Z digest=sha256:2779b08f6da1f7647b03103d19f411aeaab66a1a646b7b695e30efbba386f51e

Observation 279c3410-149f-4f9b-90c3-4e877dd17fc8 · outbound

This paper cites an unresolved cited work.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Unresolved cited work

Reference 82

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unresolved
raw_fallback, observed 2026-08-14T04:23:41.820361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.449328Z digest=sha256:6e2740293517fd0295ee76856e95b0325fd2ed1840a463809941f95a6e095b96

Observation 8b83415f-fbbd-4344-8a8e-a71b3f0bfe3f · outbound

This paper cites On estimation of covariance matrices with Kronecker product structure.IEEE Transactions on Signal Processing, 56(2):478– 491, 2008.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling On estimation of covariance matrices with Kronecker product structure.IEEE Transactions on Signal Processing, 56(2):478– 491, 2008

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raw_fallback, observed 2026-08-14T04:23:41.802972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.479570Z digest=sha256:816b11d5ad16530b1f56e28350ceadf7f6693bc4656a62c2990faf09fc3ebb54

Observation 094a9c87-b51b-4748-9c87-b6d948a05f49 · outbound

This paper cites Banding sample autocovariance matrices of sta- tionary processes.Statistica Sinica, pages 1755–1768, 2009.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Banding sample autocovariance matrices of sta- tionary processes.Statistica Sinica, pages 1755–1768, 2009

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.784112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.536453Z digest=sha256:d79fd724398781d3e8bedd22f1cdc8130e6a54454f6e1f2dc5c43317da510e4a

Observation 3d350118-a5e9-4682-b8e3-7a2cc6a02f33 · outbound

This paper cites Tensor svd: Statistical and computational limits.IEEE Transactions on Information Theory, 64(11):7311–7338, 2018.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Tensor svd: Statistical and computational limits.IEEE Transactions on Information Theory, 64(11):7311–7338, 2018

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no resolver link, observed 2026-08-14T04:23:27.572873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:27.572873Z digest=sha256:f7a32b516cf21547128807c8b19948332f67af398193bb8e0e770d496f2edc95

Observation b45c21cf-4651-4484-8d6f-f52844a42145 · outbound

This paper cites Asymptotic theory for estimators of high-order statistics of stationary processes.IEEE Transactions on Information Theory, 64(7):4907–4922, 2018.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Asymptotic theory for estimators of high-order statistics of stationary processes.IEEE Transactions on Information Theory, 64(7):4907–4922, 2018

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.748383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.617255Z digest=sha256:26e4480a58f8d26d2bbcd27c20957be4bf3886417cb6e03b6e7eb8bc3132b694

Observation bc4dd8da-1165-4e16-b3e7-9c8ab8b8b48e · outbound

This paper cites Spike localization algorithms, 2026.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Spike localization algorithms, 2026

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:41.730133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.654771Z digest=sha256:28806a541cb85e8296374271d6e5c9d99d8daab537029d9b4eb8ede2d4e5cdd0

Observation 2434763b-419c-4a0d-8a09-01bb8d67ad0d · outbound

This paper cites Benchmarking spike source localization algorithms in high density probes.PLOS Computational Biology, 22(3):e1014059, 2026.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Benchmarking spike source localization algorithms in high density probes.PLOS Computational Biology, 22(3):e1014059, 2026

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:28.368957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.693644Z digest=sha256:996716d4f823606cd5433f2d69cff7dbab080320c4aa3c5d8ad9efb5ead745f1

Observation de96ce53-3f1a-4ed5-ae74-c770307c114a · outbound

This paper cites Gemini: Graph estimation with matrix variate normal instances.The Annals of Statistics, 42(2):532–562, 2014.

Bandable Cumulant Tensors: Optimal Estimation and Applications in Non-Gaussian Data Modeling Gemini: Graph estimation with matrix variate normal instances.The Annals of Statistics, 42(2):532–562, 2014

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verified fuzzy
raw_fallback, observed 2026-08-14T04:23:28.269895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:23:27.747139Z digest=sha256:1172af28c222c00442c89b9879e16bd2b49f28cae51ee69a51e05384f9bf79d3

Pith citing papers

No inbound Pith citation observations are available.