Results 71 to 80 of about 107,685 (262)
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
Annals of Clinical and Translational Neurology, EarlyView.The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
Distribution Endpoint Estimation Assessment for the use in Metaheuristic Optimization Procedure
Mendel, 2018 Metaheuristic algorithms are often applied to numerous optimization problems, involving large-scale and mixed-integer instances, specifically. In this contribution we discuss some refinements from the extreme value theory to the lately proposed ...
Jan Holesovky
doaj +1 more source
Bootstrapping Neural Networks [PDF]
Neural Computation, 2000 Knowledge about the distribution of a statistical estimator is important for various purposes, such as the construction of confidence intervals for model parameters or the determination of critical values of tests. A widely used method to estimate this distribution is the so-called bootstrap, which is based on an imitation of the probabilistic ...
Franke, Jürgen, Neumann, Michael
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai +13 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source
Bootstrap Unit Root Tests [PDF]
We consider the bootstrap unit root tests based on autoregressive integrated models, with or without deterministic time trends. A general methodology is developed to approximate asymptotic distributions for the models driven by integrated time series ...
Joon Y. Park
core +2 more sources
UNINFORMATIVE BOOTSTRAPPING [PDF]
Cladistics, 1996 The effect of uninformative characters on the “significance levels” obtained by bootstrapping in cladistic analysis is investigated empirically. Twenty‐eight data sets from Platnick's benchmarks are analysed with Siddall's Random Cladistics bootstrapping module and Farris’Hennig86 program, using 1000 replicates and exact calculations.
openaire +2 more sources
Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap [PDF]
In regression models, appropriate bootstrap methods for inference robust to heteroskedasticity of unknown form are the wild bootstrap and the pairs bootstrap. The finite sample performance of a heteroskedastic-robust test is investigated with Monte Carlo
Emmanuel Flachaire
core
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Bootstrap Hypothesis Testing [PDF]
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several different ways of computing bootstrap P values are discussed, including the double bootstrap and the fast double bootstrap.
James G. MacKinnon
core