Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
Fuente:
arXiv
Saved in:
| Main Authors: | Jonker, Marianne A, Pazira, Hassan, Coolen, Anthony CC |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)
by: Jonker, Marianne A., et al.
Published: (2023)
Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)
by: Pazira, Hassan, et al.
Published: (2024)
Bayesian federated inference for estimating statistical models based on non‐shared multicenter data sets
by: Marianne A Jonker, et al.
Published: (2024)
by: Marianne A Jonker, et al.
Published: (2024)
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
by: John, Luis H., et al.
Published: (2020)
by: John, Luis H., et al.
Published: (2020)
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)
by: Wu, Yufei, et al.
Published: (2024)
A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
by: Oganisian, Arman, et al.
Published: (2023)
by: Oganisian, Arman, et al.
Published: (2023)
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)
by: Saxena, Manan, et al.
Published: (2024)
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026)
by: Pryce, Matthew, et al.
Published: (2026)
Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, et al.
Published: (2026)
by: Xu, Mengqi, et al.
Published: (2026)
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
by: Ge, Heng, et al.
Published: (2025)
by: Ge, Heng, et al.
Published: (2025)
Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
by: Perrin, Valentine, et al.
Published: (2024)
by: Perrin, Valentine, et al.
Published: (2024)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products
by: Papacharalampous, Georgia, et al.
Published: (2024)
by: Papacharalampous, Georgia, et al.
Published: (2024)
Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
by: Talbot, Austin, et al.
Published: (2026)
by: Talbot, Austin, et al.
Published: (2026)
PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
by: Asenso, Theophilus Quachie, et al.
Published: (2026)
by: Asenso, Theophilus Quachie, et al.
Published: (2026)
Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
by: Dandapanthula, Sanjit, et al.
Published: (2026)
by: Dandapanthula, Sanjit, et al.
Published: (2026)
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)
by: Zhu, Haonan, et al.
Published: (2025)
On metric choice in dimension reduction for Fréchet regression
by: Soale, Abdul-Nasah, et al.
Published: (2024)
by: Soale, Abdul-Nasah, et al.
Published: (2024)
Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Bayesian temporal biclustering with applications to multi-subject neuroscience studies
by: Ricci, Federica Zoe, et al.
Published: (2024)
by: Ricci, Federica Zoe, et al.
Published: (2024)
Bayesian CART models for aggregate claim modeling
by: Zhang, Yaojun, et al.
Published: (2024)
by: Zhang, Yaojun, et al.
Published: (2024)
A non-parametric optimal design algorithm for population pharmacokinetics
by: Hovd, Markus, et al.
Published: (2025)
by: Hovd, Markus, et al.
Published: (2025)
Efficient Inference for Noisy LLM-as-a-Judge Evaluation
by: Chen, Yiqun T, et al.
Published: (2026)
by: Chen, Yiqun T, et al.
Published: (2026)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
by: Zhou, Zihan, et al.
Published: (2024)
by: Zhou, Zihan, et al.
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
by: Hermansen, Tobias Østmo, et al.
Published: (2025)
by: Hermansen, Tobias Østmo, et al.
Published: (2025)
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024)
by: Blasi, Federico, et al.
Published: (2024)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
by: Nazemi, Shayan, et al.
Published: (2026)
by: Nazemi, Shayan, et al.
Published: (2026)
Forecast reconciliation with non-linear constraints
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
by: Kosko, Matthew, et al.
Published: (2026)
by: Kosko, Matthew, et al.
Published: (2026)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
Performance of models for monitoring sustainable development goals from remote sensing: A three-level meta-regression
by: Klingwort, Jonas, et al.
Published: (2026)
by: Klingwort, Jonas, et al.
Published: (2026)
MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
Identification of physiological shock in intensive care units via Bayesian regime switching models
by: Kendall, Emmett B., et al.
Published: (2026)
by: Kendall, Emmett B., et al.
Published: (2026)
Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
Modelling non-stationary extremal dependence through a geometric approach
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)
Similar Items
-
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023) -
Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024) -
Bayesian federated inference for estimating statistical models based on non‐shared multicenter data sets
by: Marianne A Jonker, et al.
Published: (2024) -
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
by: John, Luis H., et al.
Published: (2020) -
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)