Copertina

A Novel Approach for Data Integration with Multiple Heterogeneous Data Sources

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shamsi, Farimah, Derkach, Andriy
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
di: D'Alessandro, Matteo, et al.
Pubblicazione: (2024)

Learning Shared and Source-specific Subspaces across Multiple Data Sources for Functional Data
di: Zhang, Chi, et al.
Pubblicazione: (2025)

Representation Retrieval Learning for Heterogeneous Data Integration
di: Xu, Qi, et al.
Pubblicazione: (2025)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
di: Du, Jin-Hong, et al.
Pubblicazione: (2024)

Sparse Recovery With Multiple Data Streams: A Sequential Adaptive Testing Approach
di: Wang, Weinan, et al.
Pubblicazione: (2017)

Novel Knockoff Generation and Importance Measures with Heterogeneous Data via Conditional Residuals and Local Gradients
di: Mason, Evan, et al.
Pubblicazione: (2025)

Multi-Site Health Research Integrating Complementary Data Sources: A Scoping Review of Statistical Inference Methods for Vertically Partitioned Data
di: Domingue, Marie-Pier, et al.
Pubblicazione: (2026)

An Integrative Approach for Subtyping Mental Disorders Using Multimodal Data
di: Zhao, Yinjun, et al.
Pubblicazione: (2025)

Enterprise Profit Prediction Using Multiple Data Sources with Missing Values through Vertical Federated Learning
di: Tang, Huiyun, et al.
Pubblicazione: (2025)

Statistics for Spatially Stratified Heterogeneous Data
di: Wang, Jinfeng, et al.
Pubblicazione: (2022)

A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data
di: Baghfalaki, Taban, et al.
Pubblicazione: (2024)

Data-Adaptive Integration With Summary Data
di: Morikawa, Kosuke, et al.
Pubblicazione: (2025)

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
di: Brantner, Carly L., et al.
Pubblicazione: (2025)

Bayesian Framework for Multi-Source Data Integration -- Application to Human Extrapolation From Preclinical Studies
di: Boulet, Sandrine, et al.
Pubblicazione: (2022)

A Frequency-Domain Approach for Integrating Multiple Functional Time Series
di: Guo, Zerui, et al.
Pubblicazione: (2026)

Joint Learning from Heterogeneous Rank Data
di: Hermes, Sjoerd, et al.
Pubblicazione: (2024)

Data-Driven Adjustment for Multiple Treatments
di: LaPlante, Sara, et al.
Pubblicazione: (2025)

Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings
di: Sui, Yang, et al.
Pubblicazione: (2025)

Empirical Bayes for Data Integration
di: Rognon-Vael, Paul, et al.
Pubblicazione: (2025)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
di: Chandra, Noirrit Kiran, et al.
Pubblicazione: (2023)

BAMIFun: Bayesian Multiple Imputation for Functional Data
di: Jiang, Ziren, et al.
Pubblicazione: (2026)

A Multiplicative Instrumental Variable Model for Data Missing Not-at-Random
di: Zhang, Yunshu, et al.
Pubblicazione: (2025)

Robust Clustered Federated Learning for Heterogeneous High-dimensional Data
di: Yang, Changxin, et al.
Pubblicazione: (2025)

LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
di: Wang, Meijia, et al.
Pubblicazione: (2024)

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
di: Liu, Bowen, et al.
Pubblicazione: (2026)

On Nonparametric Estimation of Covariograms
di: Bilchouris, Adam, et al.
Pubblicazione: (2024)

Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data
di: Baumeister, Marléne, et al.
Pubblicazione: (2024)

A Calibrated Data-Driven Approach for Small Area Estimation using Big Data
di: Tam, Siu-Ming, et al.
Pubblicazione: (2023)

Test-Negative Designs with Multiple Testing Sources
di: Yu, Mengxin, et al.
Pubblicazione: (2025)

Conformal Inference For Missing Data under Multiple Robust Learning
di: Tang, Wenlu, et al.
Pubblicazione: (2025)

SOMA: A Novel Sampler for Bayesian Inference from Privatized Data
di: Xiong, Yifei, et al.
Pubblicazione: (2025)

Bootstrap Nonparametric Inference under Data Integration
di: Shang, Zuofeng, et al.
Pubblicazione: (2025)

Data Integration Via Analysis of Subspaces (DIVAS)
di: Prothero, Jack B., et al.
Pubblicazione: (2022)

Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes
di: Qian, Yuhan, et al.
Pubblicazione: (2026)

Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
di: Liu, Daphne H., et al.
Pubblicazione: (2024)

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
di: Qiu, Zhixin, et al.
Pubblicazione: (2025)

Sparse Variable Selection on High Dimensional Heterogeneous Data with Tree Structured Responses
di: Liu, Hui, et al.
Pubblicazione: (2017)

Generalized Heterogeneous Functional Model with Applications to Large-scale Mobile Health Data
di: Sun, Xiaojing, et al.
Pubblicazione: (2026)

A Communication-Efficient Distributed Algorithm for Learning with Heterogeneous and Structurally Incomplete Multi-Site Data
di: Liu, Xiaokang, et al.
Pubblicazione: (2025)

A Novel Three-Parameter Extended Weibull Distribution for Health Data Modelling
di: Ogunsola, Isqeel, et al.
Pubblicazione: (2026)