Cover Image

A new look at fiducial inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bissiri, Pier Giovanni, Holmes, Chris, Walker, Stephen
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

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

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

Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)

Neymanian inference in randomized experiments
by: Chattopadhyay, Ambarish, et al.
Published: (2024)

Optimal inference for the mean of random functions
by: Kassi, Omar, et al.
Published: (2025)

Uniform inference in linear mixed models
by: Ekvall, Karl Oskar, et al.
Published: (2025)

Improved bounds and inference on optimal regimes
by: Laurendeau, Julien D., et al.
Published: (2024)

Distribution-free inference with hierarchical data
by: Lee, Yonghoon, et al.
Published: (2023)

Selective inference is easier with p-values
by: Sood, Anav
Published: (2024)

On inference for modularity statistics in structured networks
by: Mitra, Anirban, et al.
Published: (2024)

A spectral inference method for determining the number of communities in networks
by: Wu, Yujia, et al.
Published: (2026)

Post-reduction inference for confidence sets of models
by: Battey, Heather, et al.
Published: (2025)

Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)

Simultaneous semiparametric inference for single-index models
by: Tang, Jiajun, et al.
Published: (2024)

Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)

Two-sample inference for sparse functional data
by: Zhang, Chi, et al.
Published: (2023)

k-Sample inference via Multimarginal Optimal Transport
by: Kravtsova, Natalia
Published: (2025)

Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)

Optimal estimation of the null distribution in large-scale inference
by: Kotekal, Subhodh, et al.
Published: (2024)

Statistical inference for high-dimensional spectral density matrix
by: Chang, Jinyuan, et al.
Published: (2022)

Differentially private inference framework of Riemannian manifold data
by: Jiang, Yangdi, et al.
Published: (2026)

Valid post-selection inference in Robust Q-learning
by: Jones, Jeremiah, et al.
Published: (2022)

A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)

Possibility-theoretic statistical inference offers performance and probativeness assurances
by: Cella, Leonardo, et al.
Published: (2023)

High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
by: He, Junhui, et al.
Published: (2024)

Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)

Statistical inference of random graphs with a surrogate likelihood function
by: Wu, Dingbo, et al.
Published: (2022)

Post-selection inference for e-value based confidence intervals
by: Xu, Ziyu, et al.
Published: (2022)

On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)

Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)

Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023)

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

Causal inference targeting a concentration index for studies of health inequalities
by: Ghasempour, Mohammad, et al.
Published: (2024)

Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)

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

Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)

Embedding Network Autoregression for time series analysis and causal peer effect inference
by: Chang, Jae Ho, et al.
Published: (2024)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)

On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference
by: Ding, Xiucai, et al.
Published: (2024)