Cover Image

Generalised Bayes Linear Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Astfalck, Lachlan, Bird, Cassandra, Williamson, Daniel
Format:	Preprint
Published:	2024
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bias correction of quadratic spectral estimators
by: Astfalck, Lachlan, et al.
Published: (2024)

Debiasing Welch's Method for Spectral Density Estimation
by: Astfalck, Lachlan C., et al.
Published: (2023)

Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications
by: Barreto-Souza, Wagner, et al.
Published: (2026)

A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified
by: Mahendran, Amalan, et al.
Published: (2025)

Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)

Universal Modelling of Autocovariance Functions via Spline Kernels
by: Astfalck, Lachlan
Published: (2025)

Divergence-based Robust Generalised Bayesian Inference for Directional Data via von Mises-Fisher models
by: Nakagawa, Tomoyuki, et al.
Published: (2025)

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
by: Banerjee, Trambak, et al.
Published: (2019)

Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention
by: Williamson, Brian D., et al.
Published: (2023)

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

Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
by: Cui, Shijie, et al.
Published: (2024)

Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)

Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026)

Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)

Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)

Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)

Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation
by: Hoef, Jay M. Ver, et al.
Published: (2023)

G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)

Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)

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

Studentising Kendall's Tau: U-Statistic Estimators and Bias Correction for a Generalised Rank Variance-Covariance framework
by: Hurley, Landon
Published: (2023)

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

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)

Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)

The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties
by: Ayed, Fadhel, et al.
Published: (2020)

Efficient Bayesian Inference for Discretely Observed Continuous Time Markov Chains
by: Tang, Tao, et al.
Published: (2025)

Priors for second-order unbiased Bayes estimators
by: Sakai, Mana, et al.
Published: (2024)

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

Empirical Bayes factors for common hypothesis tests
by: Dudbridge, Frank
Published: (2023)

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

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

Locally Simultaneous Inference
by: Zrnic, Tijana, et al.
Published: (2022)

Horseshoe Predictive Inference
by: Zhai, Percy S., et al.
Published: (2026)

Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
by: Xie, Minge, et al.
Published: (2024)

Quasi-Bayes properties of a recursive procedure for mixtures
by: Fortini, Sandra, et al.
Published: (2019)

Asymptotic Inference for Constrained Regression
by: Sankaranarayanan, Madhav, et al.
Published: (2025)

Nonparametric Inference on Unlabeled Histograms
by: Ma, Yun, et al.
Published: (2025)

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

Singularities in Bayesian Inference: Crucial or Overstated?
by: De Iorio, Maria, et al.
Published: (2025)