Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism | Paper Citation Record

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This paper cites The treatment of missing values and its ef- fect on classifier accuracy.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism The treatment of missing values and its ef- fect on classifier accuracy

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This paper cites From an application perspective, these assumptions rigorously defined a subset of applicable scenarios of our model.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism From an application perspective, these assumptions rigorously defined a subset of applicable scenarios of our model

Reference 2

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Unresolved cited work

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This paper cites Brits: Bidirectional recurrent im- putation for time series.Advances in neural information processing systems, 31,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Brits: Bidirectional recurrent im- putation for time series.Advances in neural information processing systems, 31,

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Unresolved cited work

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This paper cites Provably convergent schr ¨odinger bridge with appli- cations to probabilistic time series imputation.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Provably convergent schr ¨odinger bridge with appli- cations to probabilistic time series imputation

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This paper cites Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

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This paper cites Maximum likelihood from incom- plete data via the em algorithm.Journal of the royal statis- tical society: series B (methodological), 39(1):1–22,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Maximum likelihood from incom- plete data via the em algorithm.Journal of the royal statis- tical society: series B (methodological), 39(1):1–22,

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Unresolved cited work

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This paper cites BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition

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This paper cites Gp-vae: Deep proba- bilistic time series imputation.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Gp-vae: Deep proba- bilistic time series imputation

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This paper cites Hidden markov nonlinear ica: Unsupervised learning from nonstationary time series.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Hidden markov nonlinear ica: Unsupervised learning from nonstationary time series

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Observation a7a51423-c7ba-46dd-aebd-b8e26316a3e8 · outbound

This paper cites Latent Processes Identification From Multi-View Time Series.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Latent Processes Identification From Multi-View Time Series

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This paper cites Unsupervised feature extraction by time- contrastive learning and nonlinear ica.Advances in neural information processing systems, 29,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Unsupervised feature extraction by time- contrastive learning and nonlinear ica.Advances in neural information processing systems, 29,

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This paper cites Independent compo- nent analysis: recent advances.Philosophical Transac- tions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1984):20110534,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Independent compo- nent analysis: recent advances.Philosophical Transac- tions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1984):20110534,

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This paper cites Mimic-iii, a freely ac- cessible critical care database.Scientific data, 3(1):1–9,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Mimic-iii, a freely ac- cessible critical care database.Scientific data, 3(1):1–9,

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Observation 6d509dbf-3418-48c7-b8e7-f883a80ee62f · outbound

This paper cites Proba- bilistic imputation for time-series classification with miss- ing data.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Proba- bilistic imputation for time-series classification with miss- ing data

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Observation eef6c388-e31b-4fb2-a4c5-fa7fa6cad477 · outbound

This paper cites Partial disentanglement for do- main adaptation.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Partial disentanglement for do- main adaptation

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Observation 81ebc621-2937-4c3b-b64a-16e27fb316f0 · outbound

This paper cites Identification of nonlinear latent hierarchical models.Advances in Neural Information Processing Systems, 36:2010–2032,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Identification of nonlinear latent hierarchical models.Advances in Neural Information Processing Systems, 36:2010–2032,

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Observation 1425b90f-469c-46b0-ae3b-7e5d757bfe47 · outbound

This paper cites Partial Disentanglement via Mechanism Sparsity.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Partial Disentanglement via Mechanism Sparsity

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This paper cites Synergies between disentanglement and sparsity: Gen- eralization and identifiability in multi-task learning.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Synergies between disentanglement and sparsity: Gen- eralization and identifiability in multi-task learning

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Observation c78231b6-8518-4052-aff0-f531b0f50939 · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Modeling long-and short-term temporal patterns with deep neural networks

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This paper cites Springer,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Springer,

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Observation dd426834-c5c1-4027-aeea-24e80bef2799 · outbound

This paper cites Nonstationary Time Series Forecasting via Unknown Distribution Adaptation.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Nonstationary Time Series Forecasting via Unknown Distribution Adaptation

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This paper cites On the identification of temporal causal representation with instantaneous dependence.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism On the identification of temporal causal representation with instantaneous dependence

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Observation 452ac1fc-9b1e-4fc3-af7a-80bbbaa0b926 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Citris: Causal identifiability from temporal intervened se- quences

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Observation 5dd1e657-1de4-4ede-b6c1-716fe2aaa626 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Naomi: Non-autoregressive mul- tiresolution sequence imputation.Advances in neural in- formation processing systems, 32,

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Pristi: A condi- tional diffusion framework for spatiotemporal imputation

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Observation 6b723ed1-ca0e-41e6-9d57-957485e1ff7a · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Challenging common assumptions in the unsupervised learning of disentangled representations

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Observation 65bf0876-1eaf-40e8-b278-ff88af5097d1 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Multivariate time series imputation with generative adversarial networks.Advances in neural information processing systems, 31,

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Observation 53e90ddf-247c-4d3f-980f-458d9119abbe · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Object-centric architectures enable efficient causal representation learning

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This paper cites Learning to reconstruct missing data from spa- tiotemporal graphs with sparse observations.Advances in Neural Information Processing Systems, 35:32069–32082,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Learning to reconstruct missing data from spa- tiotemporal graphs with sparse observations.Advances in Neural Information Processing Systems, 35:32069–32082,

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Generative semi-supervised learning for multivariate time series im- putation

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Observation cc0f4b8b-007c-4140-9fa5-33baacfbada2 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Graphical models for inference with missing data

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Observation 10b1bb52-ca07-4edd-8729-3677ff2d1d49 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Uncertainty-aware variational- recurrent imputation network for clinical time series.IEEE Transactions on Cybernetics, 52(9):9684–9694,

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Observation 8f77b9c6-a389-4662-bd9b-a3f193dbb306 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation

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Observation c1814f66-3b5d-40d7-86f2-f6aa50f54ff2 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Imputegan: Generative adversarial network for multivariate time series imputation.Entropy, 25(1):137,

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Inference and missing data

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Observation d39050a0-198f-4a51-8436-6d82992ccefd · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Unresolved cited work

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Probabilistic transformer for time series analy- sis.Advances in Neural Information Processing Systems, 34:23592–23608,

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Observation c00ebad9-7e70-4891-b3a8-a359b88da78e · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Csdi: Conditional score- based diffusion models for probabilistic time series impu- tation.Advances in Neural Information Processing Sys- tems, 34:24804–24816,

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Observation eb7b651b-8788-4b69-ab61-96dcf3260bd7 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Interpretable weather forecasting for worldwide stations with a unified deep model.Nature Ma- chine Intelligence, 5(6):602–611,

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Multi-domain image generation and translation with identifiability guarantees

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Counterfac- tual generation with identifiability guarantees.Advances in Neural Information Processing Systems, 36,

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Observation c5423aad-ce24-441a-b04b-4cc7fdc3f739 · outbound

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Learning Temporally Causal Latent Processes from General Temporal Data

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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Temporally disentangled representation learn- ing.Advances in Neural Information Processing Systems, 35:26492–26503,

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8733037a-4c39-4fbe-bf51-16aed706ee79 · outbound

This paper cites Multi-View Causal Representation Learning with Partial Observability.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Multi-View Causal Representation Learning with Partial Observability

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:25.760474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d7e5098-8f1c-4a35-b1c9-e0e7ca11e98f · outbound

This paper cites Estimating missing data in temporal data streams using multi-directional recurrent neural net- works.IEEE Transactions on Biomedical Engineering, 66(5):1477–1490,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Estimating missing data in temporal data streams using multi-directional recurrent neural net- works.IEEE Transactions on Biomedical Engineering, 66(5):1477–1490,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.642862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 465fa889-c0f8-4013-a3d9-3204954f1d36 · outbound

This paper cites Kernel-based nonlinear independent component analysis.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Kernel-based nonlinear independent component analysis

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.630569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8c6c311-7fb3-4219-8137-08405c61ae63 · outbound

This paper cites Causal Representation Learning from Multiple Distributions: A General Setting.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Causal Representation Learning from Multiple Distributions: A General Setting

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:25.815657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15f7d2cf-e791-482f-a7d6-78557fa450e6 · outbound

This paper cites On the identifiability of nonlinear ica: Sparsity and beyond.Advances in neural information processing systems, 35:16411–16422,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism On the identifiability of nonlinear ica: Sparsity and beyond.Advances in neural information processing systems, 35:16411–16422,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.571742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5895b47f-593a-4775-aa33-d5b8a54afc37 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:25.824262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5cbb90b-8a05-428c-a266-26e1e790952f · outbound

This paper cites This theory underpins estimation methods such as Maximum Likelihood [Dempsteret al., 1977 ], introduced in 1977, and Multiple Imputation [Rubin, 1978], developed by Rubin in.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism This theory underpins estimation methods such as Maximum Likelihood [Dempsteret al., 1977 ], introduced in 1977, and Multiple Imputation [Rubin, 1978], developed by Rubin in

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.365989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ed0c4a4-44a8-445e-af1a-adac28285ad3 · outbound

This paper cites However, most traditional approaches to handling missing data rely on the assumptions of Missing Completely at Random (MCAR) or MAR.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism However, most traditional approaches to handling missing data rely on the assumptions of Missing Completely at Random (MCAR) or MAR

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.237112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc6bf239-4d7e-41c6-8ee2-e989c25e116f · outbound

This paper cites Sincehc is invertible, thenct is component-wise identifiable.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Sincehc is invertible, thenct is component-wise identifiable

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.015912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 402e0ba1-982d-48f9-b27b-8da02df99e7f · outbound

This paper cites Sincehc is invertible, thenct is component-wise identifiable.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Sincehc is invertible, thenct is component-wise identifiable

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.002902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56766684-4a4b-4a38-b788-e439be4db5b8 · outbound

This paper cites In a few real-world applications, certain violations of the assumption can be discernible to a certain degree, such as occlusion and visual persistence in videos.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism In a few real-world applications, certain violations of the assumption can be discernible to a certain degree, such as occlusion and visual persistence in videos

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:26.932227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc69de46-8e44-48b9-8085-9f4736e5e877 · outbound

This paper cites Multiple imputations in sample surveys-a phenomenological bayesian approach to nonresponse.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Multiple imputations in sample surveys-a phenomenological bayesian approach to nonresponse

Reference 1976

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:28.405589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99569a53-380f-41b4-8020-a2c2a4e46d21 · outbound

This paper cites Saits: Self-attention-based imputation for time series.Expert Systems with Applications, 219:119619,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Saits: Self-attention-based imputation for time series.Expert Systems with Applications, 219:119619,

Reference 1977

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:24.923752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae872736-1265-4eaf-b36b-67ab5faea6da · outbound

This paper cites Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634,

Reference 1978

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:28.275612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e9e8e4c-dc9b-4303-a831-afede50d9b16 · outbound

This paper cites Identifiability Results for Multimodal Contrastive Learning.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Identifiability Results for Multimodal Contrastive Learning

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:24.803253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92b33df-6158-4818-ba3d-08820a5a80db · outbound

This paper cites Identifying Semantic Component for Robust Molecular Property Prediction.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Identifying Semantic Component for Robust Molecular Property Prediction

Reference 1998

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:28:26.609369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9bb58bd-3abc-43d6-8276-289ef6f43c45 · outbound

This paper cites Nonlinear ica using auxiliary vari- ables and generalized contrastive learning.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Nonlinear ica using auxiliary vari- ables and generalized contrastive learning

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.301070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c200eb2-f135-409e-b162-ce6930571ecd · outbound

This paper cites Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:24.614421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704f43d5-71b7-4ea1-b47d-34f94da81439 · outbound

This paper cites Gender similari- ties and differences in the treatment, relapse, and recovery cycle.Evaluation review, 32(1):113–137,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Gender similari- ties and differences in the treatment, relapse, and recovery cycle.Evaluation review, 32(1):113–137,

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.410146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c5d7700-1a86-4ac8-ace5-2ee38cc72fcd · outbound

This paper cites Miss- ing value imputation in multivariate time series with end- to-end generative adversarial networks.Information Sci- ences, 551:67–82,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Miss- ing value imputation in multivariate time series with end- to-end generative adversarial networks.Information Sci- ences, 551:67–82,

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.619373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eba1141d-a4fa-46da-8de4-177edb66bf3a · outbound

This paper cites The incomplete rosetta stone problem: Iden- tifiability results for multi-view nonlinear ica.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism The incomplete rosetta stone problem: Iden- tifiability results for multi-view nonlinear ica

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.398580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31e98042-ebbf-4179-869a-f439e988892a · outbound

This paper cites Temporally disentangled rep- resentation learning under unknown nonstationarity.Ad- vances in Neural Information Processing Systems, 36,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Temporally disentangled rep- resentation learning under unknown nonstationarity.Ad- vances in Neural Information Processing Systems, 36,

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:28.225509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 759111d1-c0f1-4792-986e-6b4ee4da533d · outbound

This paper cites Causal compo- nent analysis.Advances in Neural Information Processing Systems, 36,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Causal compo- nent analysis.Advances in Neural Information Processing Systems, 36,

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:27.897115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de3fcb49-74ac-4080-a616-5a8eedf1f136 · outbound

This paper cites Pdformer: Propagation delay- aware dynamic long-range transformer for traffic flow pre- diction.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Pdformer: Propagation delay- aware dynamic long-range transformer for traffic flow pre- diction

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:25.006798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca045e78-f217-42a7-af98-8628a46d88af · outbound

This paper cites Nonlinear ica of temporally dependent sta- tionary sources.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Nonlinear ica of temporally dependent sta- tionary sources

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.365310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce178815-2cb0-45fd-9df1-9669fe9c99e7 · outbound

This paper cites Nonlinear independent component analysis: Existence and uniqueness results.Neural networks, 12(3):429–439,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Nonlinear independent component analysis: Existence and uniqueness results.Neural networks, 12(3):429–439,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.353726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 888bbeab-9274-4182-b63d-697b6f032a24 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.Scientific reports, 8(1):6085,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Recurrent neural networks for multivariate time series with missing values.Scientific reports, 8(1):6085,

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.785257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 515be133-f338-4bf7-b1c9-38caf4e096f6 · outbound

This paper cites Identifiability of latent- variable and structural-equation models: from linear to nonlinear.Annals of the Institute of Statistical Mathematics, 76(1):1–33,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Identifiability of latent- variable and structural-equation models: from linear to nonlinear.Annals of the Institute of Statistical Mathematics, 76(1):1–33,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.155092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f731f8ee-cee6-4e39-aa3e-2b1418794d7d · outbound

This paper cites The hopeless- ness theory of depression: A prospective multi-wave test of the vulnerability-stress hypothesis.Cognitive Therapy and Research, 30:763–772,.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism The hopeless- ness theory of depression: A prospective multi-wave test of the vulnerability-stress hypothesis.Cognitive Therapy and Research, 30:763–772,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.488152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e205f86-51ac-4880-9842-8caa84b5ef72 · outbound

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

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Independent component anal- ysis, a new concept?Signal processing, 36(3):287–314,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.646274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67d3c0b3-c447-423b-9772-1e51546e9548 · outbound

This paper cites Identifiability of parameters in latent structure models with many observed variables.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Identifiability of parameters in latent structure models with many observed variables

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:24.621606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c726d056-8745-4b70-8197-01f533f05c60 · outbound

This paper cites CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:24.642487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53dab83c-7e56-4de7-a7d5-c2bf50bdf09c · outbound

This paper cites Conditional information bottleneck approach for time se- ries imputation.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Conditional information bottleneck approach for time se- ries imputation

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:28:29.657415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 144199a9-e49a-4806-9ada-c41a2af86910 · outbound

This paper cites Learning disentangled representation for multi-modal time-series sensing signals.

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Learning disentangled representation for multi-modal time-series sensing signals

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T22:28:24.627283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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