Bayesian score calibration for approximate models
Fuente:
arXiv
Saved in:
| Main Authors: | Bon, Joshua J, Warne, David J, Nott, David J, Drovandi, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)
by: Kelly, Ryan P., et al.
Published: (2025)
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
by: Kelly, Ryan P., et al.
Published: (2023)
by: Kelly, Ryan P., et al.
Published: (2023)
Preconditioned Robust Neural Posterior Estimation for Misspecified Simulators
by: Kelly, Ryan P., et al.
Published: (2026)
by: Kelly, Ryan P., et al.
Published: (2026)
Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)
by: Salimi, Selva, et al.
Published: (2026)
A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)
by: Bretherton, Adam, et al.
Published: (2025)
Accelerating sequential Monte Carlo with surrogate likelihoods
by: Bon, Joshua J, et al.
Published: (2020)
by: Bon, Joshua J, et al.
Published: (2020)
Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)
by: Frazier, David T., et al.
Published: (2021)
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)
by: Frazier, David T., et al.
Published: (2022)
The Statistical Accuracy of Neural Posterior and Likelihood Estimation
by: Frazier, David T., et al.
Published: (2024)
by: Frazier, David T., et al.
Published: (2024)
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
by: Nguyen, Nhat-Minh, et al.
Published: (2023)
by: Nguyen, Nhat-Minh, et al.
Published: (2023)
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations
by: Hassan, Conor, et al.
Published: (2024)
by: Hassan, Conor, et al.
Published: (2024)
Propensity score models are better when post-calibrated
by: Gutman, Rom, et al.
Published: (2022)
by: Gutman, Rom, et al.
Published: (2022)
Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Scalable Monte Carlo for Bayesian Learning
by: Fearnhead, Paul, et al.
Published: (2024)
by: Fearnhead, Paul, et al.
Published: (2024)
Calibrated Multivariate Regression with Localized PIT Mappings
by: Kock, Lucas, et al.
Published: (2024)
by: Kock, Lucas, et al.
Published: (2024)
Robustifying Approximate Bayesian Computation
by: Weerasinghe, Chaya, et al.
Published: (2025)
by: Weerasinghe, Chaya, et al.
Published: (2025)
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
by: Thai, Tuan, et al.
Published: (2025)
by: Thai, Tuan, et al.
Published: (2025)
Calibrated Generalized Bayesian Inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
by: Hai, Do Tien, et al.
Published: (2025)
by: Hai, Do Tien, et al.
Published: (2025)
Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models
by: Tran, TrungKhang, et al.
Published: (2026)
by: Tran, TrungKhang, et al.
Published: (2026)
Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)
by: Yuyan, Wang, et al.
Published: (2025)
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
by: Wang, Xiaoyu, et al.
Published: (2024)
by: Wang, Xiaoyu, et al.
Published: (2024)
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations
by: Stone, Adam J., et al.
Published: (2025)
by: Stone, Adam J., et al.
Published: (2025)
Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025)
by: Tan, Linda S. L., et al.
Published: (2025)
Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)
by: Aliverti, Emanuele
Published: (2025)
Sampling by averaging: A multiscale approach to score estimation
by: Cordero-Encinar, Paula, et al.
Published: (2025)
by: Cordero-Encinar, Paula, et al.
Published: (2025)
Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
Statistical learning for constrained functional parameters in infinite-dimensional models
by: Nabi, Razieh, et al.
Published: (2024)
by: Nabi, Razieh, et al.
Published: (2024)
Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches
by: Pion, Aurélien, et al.
Published: (2025)
by: Pion, Aurélien, et al.
Published: (2025)
A fast non-reversible sampler for Bayesian finite mixture models
by: Ascolani, Filippo, et al.
Published: (2025)
by: Ascolani, Filippo, et al.
Published: (2025)
Calibration of P-values for calibration and for deviation of a subpopulation from the full population
by: Tygert, Mark
Published: (2022)
by: Tygert, Mark
Published: (2022)
Knots and variance ordering of sequential Monte Carlo algorithms
by: Bon, Joshua J, et al.
Published: (2025)
by: Bon, Joshua J, et al.
Published: (2025)
Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
by: Vollert, Sarah A., et al.
Published: (2025)
by: Vollert, Sarah A., et al.
Published: (2025)
Using Platt's scaling for calibration after undersampling -- limitations and how to address them
by: Phelps, Nathan, et al.
Published: (2024)
by: Phelps, Nathan, et al.
Published: (2024)
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)
by: Li, Chengkun, et al.
Published: (2023)
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)
by: Stone, Adam J., et al.
Published: (2025)
Sample-efficient evidence estimation of score based priors for model selection
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)
by: Wang, Yuexi, et al.
Published: (2022)
Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
by: Yang, Fuming, et al.
Published: (2025)
by: Yang, Fuming, et al.
Published: (2025)
Principal component analysis balancing prediction and approximation accuracy for spatial data
by: Cheng, Si, et al.
Published: (2024)
by: Cheng, Si, et al.
Published: (2024)
Similar Items
-
Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025) -
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
by: Kelly, Ryan P., et al.
Published: (2023) -
Preconditioned Robust Neural Posterior Estimation for Misspecified Simulators
by: Kelly, Ryan P., et al.
Published: (2026) -
Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026) -
A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)