Results 111 to 120 of about 17,240 (299)
Bootstrap Specification Tests with Dependent Observations and Parameter Estimation Error [PDF]
This paper introduces a parametric specification test for dissusion processes which is based on a bootstrap procedure that accounts for data dependence and parameter estimation error. The proposed bootstrap procedure additionally leads to straightforward
Valentina Corradi, Norman R. Swanson
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Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman +3 more
wiley +1 more source
Statistical models with uncertain error parameters
European Physical Journal C: Particles and Fields, 2019 In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Glen Cowan
doaj +1 more source
Ultrafast fMRI Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Aging impacts pulsatility of blood vessels in the brain, reflecting vascular health. Resolving characteristics of cardiac pulsatility requires faster acquisitions than traditional fMRI. An ultrafast fMRI method was developed and applied to sample several harmonics of cardiac pulsations at 7 T.
Charles Marchini +5 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Asymptotically Nuisance-Parameter-Free Consistent Tests of Lp-Functional Form [PDF]
We develop a consistent conditional moment test of Lp-best predictor functional form, 1nonlinear regression models, consistent conditional moment test, nuisance parameter-free test, Lp-best ...
Jonathan Hill
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Circulant Matrix‐Based Box–Behnken Designs With Economic Run Sizes
Quality and Reliability Engineering International, EarlyView.ABSTRACT We introduce Circulant Matrix‐Based Box–Behnken Designs (CBBDs), a new class of three‐level, second‐order response surface designs constructed using circulant matrix structures. These designs satisfy an enhanced orthogonal minimally aliased (OMA∗${\rm OMA}^*$) property: they retain the classical OMA property—where main effects are orthogonal ...
Tung‐Dinh Pham, Nam‐Ky Nguyen
wiley +1 more source
River Research and Applications, EarlyView.ABSTRACT River regulation following damming is often associated with deleterious downstream effects, in large part due to reduced total discharge and disruption of seasonal flooding. These effects would be expected to be exacerbated by drought, particularly extended drought.
Jeffrey G. Holmquist +1 more
wiley +1 more source
Bayesian priors and nuisance parameters
, 2016 Bayesian techniques are widely used to obtain spectral functions from correlators. We suggest a technique to rid the results of nuisance parameters, ie, parameters which are needed for the regularization but cannot be determined from data. We give examples where the method works, including a pion mass extraction with two flavours of staggered quarks at
Gupta, Sourendu, Lahiri, Anirban
openaire +3 more sources
Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]
In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
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