Introduction to generalized fiducial inference

AC Murph, J Hannig, JP Williams - Handbook of Bayesian …, 2024 - taylorfrancis.com
Fiducial inference was introduced in the first half of the 20th century by RA Fisher as a
means to get a posterior-like distribution for a parameter without having to arbitrarily define a …

The EAS approach to variable selection for multivariate response data in high-dimensional settings

S Koner, JP Williams - Electronic Journal of Statistics, 2023 - projecteuclid.org
In this paper, we develop an epsilon admissible subsets (EAS) model selection approach for
performing group variable selection in the high-dimensional multivariate regression setting …

Semiparametric fiducial inference

Y Cui, J Hannig, P Edlefsen - arXiv preprint arXiv:2404.18779, 2024 - arxiv.org
RA Fisher introduced the concept of fiducial as a potential replacement for the Bayesian
posterior distribution in the 1930s. During the past century, fiducial approaches have been …

Asymptotically honest fiducial generalized inference: an application in autoregressive models

D Guo, L Yan, M Li - Journal of Statistical Computation and …, 2024 - Taylor & Francis
This paper firstly studies the coefficients estimation of the AR model with normal innovation
by proposing an asymptotically honest generalized fiducial (AHGF) method. Furthermore …

High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference

Z Wei, TCM Lee - Journal of Computational and Graphical …, 2023 - Taylor & Francis
Over the past decades, the Multi-Task Learning (MTL) problem has attracted much attention
in the artificial intelligence and machine learning communities. However, most published …

Generalized fiducial factor: An alternative to the Bayes factor for forensic identification of source problems

JP Williams, DM Ommen, J Hannig - The Annals of Applied …, 2023 - projecteuclid.org
This Supplementary Material contains the code used to produce all of the results presented
in this manuscript. The glass fragment data set that we investigate (van Es et al.(2017)) was …

Discussion of “A Gibbs sampler for a class of random convex polytopes”

JP Williams - Journal of the American Statistical Association, 2021 - Taylor & Francis
Full article: Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes” Skip to
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[图书][B] Modern Statistical Methods for Multivariate and Functional Data

S Koner - 2021 - search.proquest.com
The proliferation of collecting a huge volume of data, continuously streaming out of
technological devices, saw the large-scaled prediction algorithms such as random forest …