Results 61 to 70 of about 4,373,274 (284)
A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly ...
Fillatre Lionel, Nikiforov Igor
doaj +1 more source
Robust variance estimation and inference for causal effect estimation
We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
doaj +1 more source
Abstract Engineering graduate students confuse the scientific method and problem solving when presenting their pre‐doctoral exams and theses: Science discourse adopts question and hypotheses to assert and establish a study's rationale, while it is problem and objectives in engineering design.
Gregory S. Patience +4 more
wiley +1 more source
Beyond scale variations: perturbative theory uncertainties from nuisance parameters
We develop a new approach to estimate the uncertainty due to missing higher orders in perturbative predictions (the perturbative “theory uncertainty”), which overcomes many inherent limitations of the currently prevalent methods based on varying ...
Frank J. Tackmann
doaj +1 more source
Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network Model
Resting-state functional magnetic resonance imaging (rs-fMRI) based on the blood-oxygen-level-dependent (BOLD) signal has been widely used in healthy individuals and patients to investigate brain functions when the subjects are in a resting or task ...
Zhengshi Yang +6 more
doaj +1 more source
LIMITS AND CONFIDENCE INTERVALS IN THE PRESENCE OF NUISANCE PARAMETERS [PDF]
We study the frequentist properties of confidence intervals computed by the method known to statisticians as the Profile Likelihood. It is seen that the coverage of these intervals is surprisingly good over a wide range of possible parameter values for important classes of problems, in particular whenever there are additional nuisance parameters with ...
ROLKE, WOLFGANG A. +2 more
openaire +4 more sources
A conversation with James V. Zidek
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley +1 more source
ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
Hypothesis Testing in the Presence of One-sided Nuisance Parameters [PDF]
In this paper, we investigate whether similar improvements are observed when we have a non-sample information regarding the nuisance parameters in the testing problem.
Anthony W. Hughes
core
P Values and Nuisance Parameters [PDF]
We review the de nition and interpretation of p values, describe methods to incorporate systematic uncertainties in their calculation, and brie y discuss a non-regular but common problem caused by nuisance parameters that are unidenti ed under the null ...
Demortier, Luv
core +1 more source

