Bayesian Transfer Learning for Enhanced Estimation and Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Lai, Daoyuan, Padilla, Oscar Hernan Madrid, Gu, Tian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian variance change point detection with credible sets
by: Cappello, Lorenzo, et al.
Published: (2022)
by: Cappello, Lorenzo, et al.
Published: (2022)
A Bayesian framework for change-point detection with uncertainty quantification
by: Berlind, Davis, et al.
Published: (2025)
by: Berlind, Davis, et al.
Published: (2025)
High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
by: Ruiz, Gabriel, et al.
Published: (2022)
by: Ruiz, Gabriel, et al.
Published: (2022)
A causal fused lasso for interpretable heterogeneous treatment effects estimation
by: Padilla, Oscar Hernan Madrid, et al.
Published: (2021)
by: Padilla, Oscar Hernan Madrid, et al.
Published: (2021)
Multivariate Poisson intensity estimation via low-rank tensor decomposition
by: Xu, Haotian, et al.
Published: (2025)
by: Xu, Haotian, et al.
Published: (2025)
Change Point Localization and Inference in Dynamic Multilayer Networks
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
Multilayer random dot product graphs: Estimation and online change point detection
by: Wang, Fan, et al.
Published: (2023)
by: Wang, Fan, et al.
Published: (2023)
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
by: Kumar, Shivam, et al.
Published: (2025)
by: Kumar, Shivam, et al.
Published: (2025)
Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
by: Matabuena, Marcos, et al.
Published: (2024)
by: Matabuena, Marcos, et al.
Published: (2024)
Change Point Detection on A Separable Model for Dynamic Networks
by: Kei, Yik Lun, et al.
Published: (2023)
by: Kei, Yik Lun, et al.
Published: (2023)
Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model
by: Kei, Yik Lun, et al.
Published: (2024)
by: Kei, Yik Lun, et al.
Published: (2024)
Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces
by: Matabuena, Marcos, et al.
Published: (2024)
by: Matabuena, Marcos, et al.
Published: (2024)
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
by: Matabuena, Marcos, et al.
Published: (2025)
by: Matabuena, Marcos, et al.
Published: (2025)
Decoder-only Clustering in Attributed Graphs
by: Kei, Yik Lun, et al.
Published: (2025)
by: Kei, Yik Lun, et al.
Published: (2025)
Network two-sample test for block models
by: Nguen, Chung Kyong, et al.
Published: (2024)
by: Nguen, Chung Kyong, et al.
Published: (2024)
Quasi-Bayesian Estimation and Inference with Control Functions
by: Liu, Ruixuan, et al.
Published: (2024)
by: Liu, Ruixuan, et al.
Published: (2024)
Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
by: Guha, Subharup, et al.
Published: (2025)
by: Guha, Subharup, et al.
Published: (2025)
Transfer Learning with General Estimating Equations
by: Yan, Han, et al.
Published: (2024)
by: Yan, Han, et al.
Published: (2024)
Calibrating Bayesian Inference
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior
by: Hutchings, Grant, et al.
Published: (2024)
by: Hutchings, Grant, et al.
Published: (2024)
Calibrated Generalized Bayesian Inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
On the Stability of General Bayesian Inference
by: Jewson, Jack, et al.
Published: (2023)
by: Jewson, Jack, et al.
Published: (2023)
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
by: Dhawan, Nikita, et al.
Published: (2026)
by: Dhawan, Nikita, et al.
Published: (2026)
Prediction-Oriented Transfer Learning for Survival Analysis
by: Gu, Yu, et al.
Published: (2026)
by: Gu, Yu, et al.
Published: (2026)
Targeted Learning Estimation of Sampling Variance for Improved Inference
by: Ji, Yunwen, et al.
Published: (2025)
by: Ji, Yunwen, et al.
Published: (2025)
Bayesian Inference and the Principle of Maximum Entropy
by: Foley, Duncan K., et al.
Published: (2024)
by: Foley, Duncan K., et al.
Published: (2024)
Contrastive Bayesian Inference for Unnormalized Models
by: Sonobe, Naruki, et al.
Published: (2026)
by: Sonobe, Naruki, et al.
Published: (2026)
Robust Bayesian Inference on Riemannian Submanifold
by: Tang, Rong, et al.
Published: (2023)
by: Tang, Rong, et al.
Published: (2023)
Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
by: Presicce, Luca, et al.
Published: (2026)
by: Presicce, Luca, et al.
Published: (2026)
Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
by: Wang, Xinru, et al.
Published: (2023)
by: Wang, Xinru, et al.
Published: (2023)
Robust and Scalable Variational Bayes
by: Padilla, Carlos Misael Madrid, et al.
Published: (2025)
by: Padilla, Carlos Misael Madrid, et al.
Published: (2025)
Multi-Hazard Bayesian Hierarchical Model for Damage Prediction
by: Salvaña, Mary Lai O.
Published: (2025)
by: Salvaña, Mary Lai O.
Published: (2025)
Causal Inference in the Multiverse of Hazard
by: Lai, En-Yu, et al.
Published: (2024)
by: Lai, En-Yu, et al.
Published: (2024)
Defensive Model Expansion for Robust Bayesian Inference
by: Linero, Antonio R.
Published: (2025)
by: Linero, Antonio R.
Published: (2025)
Robust Bayesian Inference for Censored Survival Models
by: Hamura, Yasuyuki, et al.
Published: (2025)
by: Hamura, Yasuyuki, et al.
Published: (2025)
Bayesian Inference for Single-factor Graphical Models
by: Marcano, David, et al.
Published: (2025)
by: Marcano, David, et al.
Published: (2025)
Adaptive Inference through Bayesian and Inverse Bayesian Inference with Symmetry-Bias in Nonstationary Environments
by: Shinohara, Shuji, et al.
Published: (2025)
by: Shinohara, Shuji, et al.
Published: (2025)
Bayesian and Frequentist Inference for Synthetic Controls
by: Martinez, Ignacio, et al.
Published: (2022)
by: Martinez, Ignacio, et al.
Published: (2022)
Generalized Bayesian Likelihood-Free Inference
by: Pacchiardi, Lorenzo, et al.
Published: (2021)
by: Pacchiardi, Lorenzo, et al.
Published: (2021)
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
by: Liu, Siyan, et al.
Published: (2024)
by: Liu, Siyan, et al.
Published: (2024)
Similar Items
-
Bayesian variance change point detection with credible sets
by: Cappello, Lorenzo, et al.
Published: (2022) -
A Bayesian framework for change-point detection with uncertainty quantification
by: Berlind, Davis, et al.
Published: (2025) -
High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
by: Ruiz, Gabriel, et al.
Published: (2022) -
A causal fused lasso for interpretable heterogeneous treatment effects estimation
by: Padilla, Oscar Hernan Madrid, et al.
Published: (2021) -
Multivariate Poisson intensity estimation via low-rank tensor decomposition
by: Xu, Haotian, et al.
Published: (2025)