Results 51 to 60 of about 2,509,073 (310)

Robustness Study of Unit Elasticity of Intertemporal Substitution Assumption and Preference Misspecification

open access: yesMathematics
This paper proposes a novel robustness framework for studying the unit elasticity of intertemporal substitution (EIS) assumption based on the Perron-Frobenius sieve estimation model by Christensen, 2017. The sieve nonparametric decomposition is a central
Huarui Jing
doaj   +1 more source

Robust Nonparametric Nearest Neighbor Random Process Clustering [PDF]

open access: yesIEEE Transactions on Signal Processing, 2017
15 pages, 7 ...
Tschannen, Michael, Bölcskei, Helmut
openaire   +2 more sources

Nonparametric control charts for bivariate high-quality processes [PDF]

open access: yes, 2012
For attribute data with (very) low rates of defectives, attractive control charts can be based on the maximum of subsequent groups of r failure times, for some suitable r≥1, like r=5.
Albers, Willem
core   +3 more sources

A New Nonparametric Approach to Galaxy Morphological Classification [PDF]

open access: yes, 2003
We present two new nonparametric methods for quantifying galaxy morphology: the relative distribution of the galaxy pixel flux values (the Gini coefficient or G) and the second-order moment of the brightest 20% of the galaxy's flux (M20).
J. Lotz, J. Primack, P. Madau
semanticscholar   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]

open access: yes, 2007
This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared ...
Molina, Isabel   +2 more
core   +2 more sources

Multiple robustness in factorized likelihood models

open access: yesBiometrika, 2017
Summary We consider inference under a nonparametric or semiparametric model with likelihood that factorizes as the product of two or more variation‐independent factors.
J. Molina   +3 more
semanticscholar   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri   +7 more
wiley   +1 more source

Spatial Sign Correlation [PDF]

open access: yes, 2014
A new robust correlation estimator based on the spatial sign covariance matrix (SSCM) is proposed. We derive its asymptotic distribution and influence function at elliptical distributions.
Dürre, Alexander   +2 more
core   +3 more sources

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

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