Cover Image

Extrapolation of Tempered Posteriors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xi, Mengxin, Shen, Zheyang, Riabiz, Marina, Chopin, Nicolas, Oates, Chris J.
Format:	Preprint
Published:	2025
Subjects:	Computation Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Adjustment and Combination of Independent Discrete $p$-Values
by: Contador, Gonzalo, et al.
Published: (2025)

Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023)

Conditional Predictive Inference for General Structured Data with Group Symmetries
by: Shen, Yichen, et al.
Published: (2026)

Posterior inference via Hill's prediction model
by: Bissiri, Pier Giovanni, et al.
Published: (2026)

Posterior Uncertainty for Targeted Parameters in Bayesian Bootstrap Procedures
by: Sabbagh, Magid, et al.
Published: (2026)

Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026)

Sparse Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2026)

A connection between Tempering and Entropic Mirror Descent
by: Chopin, Nicolas, et al.
Published: (2023)

SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)

Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
by: Pompe, Emilia, et al.
Published: (2021)

Moment Martingale Posteriors for Semiparametric Predictive Bayes
by: Yung, Yiu Yin, et al.
Published: (2025)

Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)

Posterior Robustness with Milder Conditions: Contamination Models Revisited
by: Hamura, Yasuyuki, et al.
Published: (2023)

Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)

Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)

Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)

Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2024)

Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)

Operator-Informed Score Matching for Markov Diffusion Models
by: Shen, Zheyang, et al.
Published: (2024)

Extrapolation in Statistical Learning with Extreme Value Theory
by: Engelke, Sebastian, et al.
Published: (2026)

Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
by: Montanari, Andrea, et al.
Published: (2024)

Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)

Characterizing Finite-Dimensional Posterior Marginals in High-Dimensional GLMs via Leave-One-Out
by: Sáenz, Manuel, et al.
Published: (2025)

Prediction-Centric Uncertainty Quantification via MMD
by: Shen, Zheyang, et al.
Published: (2024)

An unbiased estimator of the case fatality rate
by: Alvarez, Agustín, et al.
Published: (2021)

Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)

Leveraging the group structure of hypotheses for more powerful multiple testing with FDR control for the filtered rejection set
by: Bogomolov, Marina, et al.
Published: (2025)

Combining experimental and observational data through a power likelihood
by: Lin, Xi, et al.
Published: (2023)

Iterating marginalized Bayes maps for likelihood maximization with application to nonlinear panel models
by: Wheeler, Jesse, et al.
Published: (2025)

Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025)

A minimum Wasserstein distance approach to Fisher's combination of independent discrete p-values
by: Contador, Gonzalo, et al.
Published: (2023)

Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)

Doublethink: simultaneous Bayesian-frequentist model-averaged hypothesis testing
by: Fryer, Helen R., et al.
Published: (2023)

A new look at fiducial inference
by: Bissiri, Pier Giovanni, et al.
Published: (2025)

Using Statistical Mechanics to Improve Real-World Bayesian Inference: A New Method Combining Tempered Posteriors and Wang-Landau Sampling
by: Farris, Alfred C. K.
Published: (2026)

Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)

Robust Survival Estimation under Interval Censoring: Expectation-Maximization and Bayesian Accelerated Failure Time Assessment via Simulation and Application
by: Korley, J. T.
Published: (2025)

Distributed Tensor Principal Component Analysis with Data Heterogeneity
by: Chen, Elynn, et al.
Published: (2024)

SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function
by: Wu, Dingbo, et al.
Published: (2025)

Inference in the $p_0$ model for directed networks under local differential privacy
by: Sun, Xueying, et al.
Published: (2025)