Results 191 to 200 of about 22,043,161 (356)
Nonparametric bootstrap tests for neglected nonlinearity in time series regression models∗ [PDF]
Tae‐Hwy Lee, Aman Ullah
openalex +1 more source
Invalidity of the Bootstrap and the m Out of n Bootstrap for Interval Endpoints Defined by Moment Inequalities [PDF]
This paper analyzes the finite-sample and asymptotic properties of several bootstrap and m out of n bootstrap methods for constructing confidence interval (CI) endpoints in models defined by moment inequalities.
Donald W.K. Andrews, Sukjin Han
core
Objectives Tumor necrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis (RA) management, yet variability in patient response remains a substantial challenge, with approximately 40% of patients discontinuing TNFi due to non‐response or adverse effects. This study aimed to identify biomarkers predictive of adalimumab treatment
Chuan Fu Yap+12 more
wiley +1 more source
Gaussian Differential Private Bootstrap by Subsampling [PDF]
Bootstrap is a common tool for quantifying uncertainty in data analysis. However, besides additional computational costs in the application of the bootstrap on massive data, a challenging problem in bootstrap based inference under Differential Privacy consists in the fact that it requires repeated access to the data.
arxiv
Effective Autism Classification Through Grasping Kinematics
ABSTRACT Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alongside social and communication difficulties. These motor symptoms often manifest in early childhood, making them critical targets for early diagnosis and intervention.
Erez Freud+3 more
wiley +1 more source
ABSTRACT Autistic people are at an elevated risk of experiencing co‐occurring anxiety and depression. The contributors to this are likely multifaceted and complex and remain poorly understood. Cognitive flexibility, social camouflaging, and perceived stress provide useful indices of the interacting neurocognitive, behavioral, and environmental factors ...
Matthew J. Hollocks+3 more
wiley +1 more source
USEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT
This paper contains a comparison of in-sample and out-of-sample performances between the resampled efficiency technique, patented by Richard Michaud and Robert Michaud (1999), and traditional Mean-Variance portfolio selection, presented by Harry ...
Boris Radovanov, Aleksandra Marcikić
doaj
Parametric Bootstrap on Networks with Non-Exchangeable Nodes [PDF]
This paper studies the parametric bootstrap method for networks to quantify the uncertainty of statistics of interest. While existing network resampling methods primarily focus on count statistics under node-exchangeable (graphon) models, we consider more general network statistics (including local statistics) under the Chung-Lu model without node ...
arxiv
Baryon-antibaryon bootstrap model of the meson spectrum
G. Schierholz
openalex +2 more sources