Cover Image

Moment Martingale Posteriors for Semiparametric Predictive Bayes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yung, Yiu Yin, Lee, Stephen M. S., Fong, Edwin
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Asymptotics for parametric martingale posteriors
by: Fong, Edwin, et al.
Published: (2024)

Bayesian Predictive Inference Beyond Martingales
by: Battiston, Marco, et al.
Published: (2025)

Semiparametrics via parametrics and contiguity
by: Lee, Adam, et al.
Published: (2025)

Semiparametric Efficiency of Residual Correlation Testing under Gaussian Additive Noise Models
by: Tang, Yin, et al.
Published: (2026)

A Martingale Kernel Two-Sample Test
by: Chatterjee, Anirban, et al.
Published: (2025)

The CATT SATT on the MATT: semiparametric inference for sample treatment effects on the treated
by: Yiu, Andrew
Published: (2024)

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

Semiparametric adaptive estimation under informative sampling
by: Morikawa, Kosuke, et al.
Published: (2022)

Semiparametric Efficient Fusion of Individual Data and Summary Statistics
by: Hu, Wenjie, et al.
Published: (2022)

A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning
by: Xu, Zichun, et al.
Published: (2025)

Semiparametric fiducial inference for Cox models
by: Cui, Yifan, et al.
Published: (2024)

Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework
by: Morikawa, Kosuke, et al.
Published: (2026)

Bayesian Learning of Relational Graph in Semiparametric High-dimensional Time Series
by: Roy, Arkaprava, et al.
Published: (2024)

Semiparametric Joint Inference for Sensitivity and Specificity at the Youden-Optimal Cut-Off
by: Liu, Siyan, et al.
Published: (2026)

Stopping Rules for Monte Carlo Methods of Martingale Difference Type
by: Wu, Jiezhong, et al.
Published: (2025)

Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
by: Bu, Qiushi, et al.
Published: (2025)

Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation
by: Lu, Sizhu, et al.
Published: (2023)

Mean Estimation in Banach Spaces Under Infinite Variance and Martingale Dependence
by: Whitehouse, Justin, et al.
Published: (2024)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Transfer Learning under Group-Label Shift: A Semiparametric Exponential Tilting Approach
by: Cheng, Manli, et al.
Published: (2025)

Semiparametric mean and variance joint models with Laplace link functions for count time series
by: Liu, Tianqing, et al.
Published: (2024)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)

Multivariate Inference of Network Moments by Subsampling
by: Qi, Mingyu, et al.
Published: (2024)

Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025)

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

Empirical Bayes When Estimation Precision Predicts Parameters
by: Chen, Jiafeng
Published: (2022)

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

On the Hierarchical Bayes justification of Empirical Bayes Confidence Intervals
by: Sen, Aditi, et al.
Published: (2025)

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

Bayesian Semiparametric Mixture Cure (Frailty) Models
by: Kızılaslan, Fatih, et al.
Published: (2025)

Towards a Unified Theory for Semiparametric Data Fusion with Individual-Level Data
by: Graham, Ellen, et al.
Published: (2024)

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

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

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

De Finetti + Sanov = Bayes
by: Polson, Nicholas G., et al.
Published: (2025)

Generalised Bayes Linear Inference
by: Astfalck, Lachlan, et al.
Published: (2024)

GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
by: Wang, Rui, et al.
Published: (2025)

Constrained Denoising, Empirical Bayes, and Optimal Transport
by: Jaffe, Adam Quinn, et al.
Published: (2025)

Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)