Results 61 to 70 of about 22,118,555 (377)
Frequentist and Bayesian measures of confidence via multiscale bootstrap for testing three regions
A new computation method of frequentist $p$-values and Bayesian posterior probabilities based on the bootstrap probability is discussed for the multivariate normal model with unknown expectation parameter vector.
B. Efron +15 more
core +2 more sources
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Bootstrap and Wild Bootstrap for High Dimensional Linear Models
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap [PDF]
Mixture models with (multivariate) Gaussian components are a popular tool in model-based clustering. Such models are often fitted by a procedure that maximizes the likelihood, such as the EM algorithm.
A. O'Hagan +3 more
semanticscholar +1 more source
A conformal bootstrap approach to critical percolation in two dimensions [PDF]
We study four-point functions of critical percolation in two dimensions, and more generally of the Potts model. We propose an exact ansatz for the spectrum: an infinite, discrete and non-diagonal combination of representations of the Virasoro algebra ...
Picco, Marco +2 more
core +4 more sources
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
wiley +1 more source
Percentile Bootstrap Interval on Univariate Local Polynomial Regression Prediction
This study offers a new technique for constructing percentile bootstrap intervals to predict the regression of univariate local polynomials. Bootstrap regression uses resampling derived from paired and residual bootstrap methods.
Abil Mansyur +2 more
doaj +1 more source
The cosmological bootstrap: inflationary correlators from symmetries and singularities [PDF]
Scattering amplitudes at weak coupling are highly constrained by Lorentz invariance, locality and unitarity, and depend on model details only through coupling constants and the particle content of the theory.
N. Arkani-Hamed +3 more
semanticscholar +1 more source
Beyond first-order asymptotics for Cox regression [PDF]
To go beyond standard first-order asymptotics for Cox regression, we develop parametric bootstrap and second-order methods. In general, computation of $P$-values beyond first order requires more model specification than is required for the likelihood ...
Bellio, Ruggero, Pierce, Donald A.
core +2 more sources
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source

