Copertina

Robust Bayesian Inference for Measurement Error Misspecification: The Berkson and Classical Cases

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dellaporta, Charita, Damoulas, Theodoros
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Methodology Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
di: Dellaporta, Charita, et al.
Pubblicazione: (2025)

Total robustness in Bayesian Nonlinear Regression
di: Chen, Mengqi, et al.
Pubblicazione: (2025)

Distributionally Robust Optimisation with Bayesian Ambiguity Sets
di: Dellaporta, Charita, et al.
Pubblicazione: (2024)

Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
di: Dellaporta, Charita, et al.
Pubblicazione: (2024)

Amortised and provably-robust simulation-based inference
di: Bharti, Ayush, et al.
Pubblicazione: (2026)

Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
di: Huk, David, et al.
Pubblicazione: (2025)

Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification
di: Mildner, Terje, et al.
Pubblicazione: (2025)

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
di: Wehenkel, Antoine, et al.
Pubblicazione: (2024)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
di: Kelly, Ryan P., et al.
Pubblicazione: (2023)

Double Robust Bayesian Inference on Average Treatment Effects
di: Breunig, Christoph, et al.
Pubblicazione: (2022)

Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
di: Tian, Ye, et al.
Pubblicazione: (2024)

Wrong Model, Right Uncertainty: Spatial Associations for Discrete Data with Misspecification
di: Burt, David R., et al.
Pubblicazione: (2025)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
di: Leiner, James, et al.
Pubblicazione: (2025)

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
di: Zhang, Zhenhao, et al.
Pubblicazione: (2024)

Misspecification-robust likelihood-free inference in high dimensions
di: Thomas, Owen, et al.
Pubblicazione: (2020)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
di: Wu, Yufei, et al.
Pubblicazione: (2024)

Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
di: Mildner, Terje, et al.
Pubblicazione: (2025)

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
di: Elsemüller, Lasse, et al.
Pubblicazione: (2025)

Sensitivity-Aware Amortized Bayesian Inference
di: Elsemüller, Lasse, et al.
Pubblicazione: (2023)

Table inference for combinatorial origin-destination choices in agent-based population synthesis
di: Zachos, Ioannis, et al.
Pubblicazione: (2023)

Is Elo Rating Reliable? A Study Under Model Misspecification
di: Tang, Shange, et al.
Pubblicazione: (2025)

Bayesian Causal Inference with Gaussian Process Networks
di: Giudice, Enrico, et al.
Pubblicazione: (2024)

Federated Variational Inference for Bayesian Mixture Models
di: Rao, Jackie, et al.
Pubblicazione: (2025)

Generative Bayesian Inference with GANs
di: Wang, Yuexi, et al.
Pubblicazione: (2022)

Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
di: Wakayama, Tomoya
Pubblicazione: (2024)

Near-Optimal Approximations for Bayesian Inference in Function Space
di: Wild, Veit, et al.
Pubblicazione: (2025)

Distributionally Robust Causal Abstractions
di: Felekis, Yorgos, et al.
Pubblicazione: (2025)

Causal Imitation Learning Under Measurement Error and Distribution Shift
di: Bo, Shi, et al.
Pubblicazione: (2026)

Bayesian Federated Inference for Survival Models
di: Pazira, Hassan, et al.
Pubblicazione: (2024)

Variational Inference for Bayesian MIDAS Regression
di: Simeone, Luigi
Pubblicazione: (2026)

Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
di: Arruda, Jonas, et al.
Pubblicazione: (2026)

Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
di: Wu, Bohan, et al.
Pubblicazione: (2025)

Bayesian Event-Based Model for Disease Subtype and Stage Inference
di: Hao, Hongtao, et al.
Pubblicazione: (2025)

Robust Bayesian Optimization via Tempered Posteriors
di: Li, Jiguang, et al.
Pubblicazione: (2026)

Robust, Accurate Stochastic Optimization for Variational Inference
di: Dhaka, Akash Kumar, et al.
Pubblicazione: (2020)

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
di: Dhawan, Nikita, et al.
Pubblicazione: (2026)

Conservative neural posterior estimation via distributionally robust training
di: Laplante, William, et al.
Pubblicazione: (2026)

AI-Powered Bayesian Inference
di: O'Hagan, Sean, et al.
Pubblicazione: (2025)

Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
di: Sert, Gözde, et al.
Pubblicazione: (2025)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
di: He, Junhui, et al.
Pubblicazione: (2024)