期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; ()
We consider the problem of inference on the signs of n > 1 parameters. We aim to provide 1 - alpha post hoc confidence bounds on the number of posi......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (3)
We consider identification and inference about mean functionals of observed covariates and an outcome variable subject to non-ignorable missingness. B......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (4)
We propose a methodology for modelling and comparing probability distributions within a Bayesian nonparametric framework. Building on dependent normal......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; ()
Space-filling designs are widely used in computer experiments. A minimum aberration-type space-filling criterion was recently proposed to rank and ass......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; ()
Controlling the False Discovery Rate (FDR) in a variable selection procedure is critical for reproducible discoveries, and it has been extensively stu......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (1)
Randomized experiments are the gold standard for causal inference and enable unbiased estimation of treatment effects. Regression adjustment provides ......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (3)
The least trimmed squares (LTS) estimator is a popular robust regression estimator. It finds a subsample of h 'good' observations among n observations......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (4)
Identification of standard mediated effects such as the natural indirect effect relies on heavy causal assumptions. By circumventing such assumptions,......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (4)
Cluster inference based on spatial extent thresholding is a popular analysis method multiple testing in spatial data, and is frequently used for findi......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (1)
There has been considerable interest in addressing the problem of unifying distributed analyses into a single coherent inference, which arises in big-......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (1)
We consider to model matrix time series based on a tensor canonical polyadic (CP)-decomposition. Instead of using an iterative algorithm which is the ......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (1)
In this paper, we develop an inferential method based on conformal prediction, which can wrap around any survival prediction algorithm to produce cali......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (2)
We formulate the estimation of monotone response surface of multiple factors as the inverse of an iteration of partially ordered classifier ensembles.......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023; 85 (3)
This paper aims to present the first Frequentist framework on signal region detection in high-resolution and high-order image regression problems. Ima......
