Results 91 to 100 of about 56,714 (261)
Improving extreme value statistics
The rate of uniform convergence in extreme value statistics is non-universal and can be arbitrarily slow. Further, the relative error can be unbounded in the tail of the approximation, leading to difficulty in extrapolating the extreme value fit beyond the available data.
openaire +4 more sources
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
ABSTRACT Traumatic spinal cord injury (TSCI) caused by sharp‐force penetration is exceptionally rare, and the use of high‐dose methylprednisolone (MP) remains highly controversial, especially beyond the conventional 8‐h treatment window. This case report describes a 30‐year‐old male with acute incomplete TSCI following a knife stab wound to the right ...
Honghong Wang +5 more
wiley +1 more source
Movement Disorders in Aicardi–Goutières Syndrome and Response to Immunomodulation
ABSTRACT This study characterizes movement disorders and treatment responses in seven children with Aicardi–Goutières syndrome (AGS). We retrospectively evaluated motor phenotypes, neuroimaging, and interferon signatures in patients treated with baricitinib or anifrolumab. Spasticity affected all patients, while dystonia was present in 4/7.
Enrique Gonzalez Saez‐Diez +10 more
wiley +1 more source
Bayesian Extreme Value Mixture Modelling for Estimating VaR [PDF]
A new extreme value mixture modelling approach for estimating Value-at-Risk (VaR) is proposed, overcoming the key issues of determining the threshold which defines the distribution tail and accounts for uncertainty due to threshold choice.
Les Oxley +3 more
core
Value-at-risk and extreme value distributions for financial returns [PDF]
The ability of the Generalised Extreme Value (GEV) and Generalised Logistic (GL) distributions to fit extreme financial returns in the stock, commodities and bond markets is assessed. The empirical results indicate that the too much celebrated GEV is not
Tolikas, K, Tolikas, Konstantinos
core +1 more source
New Methods of Series Expansions between Three Anomalies
The calculation of satellite orbit involves some very complex formula derivations and expansions, which are very difficult to manually derive and prone to errors. And the efficiency of manual derivation is not high. We can use computer algebra systems to
Dongfang Zhao +4 more
doaj +1 more source
Incorrect estimation of extreme values of daily precipitation can have severe consequences in hydrological and engineering applications. Recent advances in the study of extreme precipitation have shown that the Metastatistical Extreme Value Distribution (
Harald Schellander +2 more
doaj +1 more source
Compound Heterozygote Friedreich Ataxia Patients With Covert Proximal FXN Gene Deletions
ABSTRACT We present Friedreich ataxia patients with frataxin gene deletions. Data and records were collected at the Children's Hospital of Philadelphia from patients enrolled in the FACOMS natural history study. Patients with proximal deletions initially diagnosed with only one GAA expanded allele had more severe disease than their homozygous expansion
Michael P. Lazaropoulos +5 more
wiley +1 more source
Predicting extreme VaR: Nonparametric quantile regression with refinements from extreme value theory [PDF]
This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The approach is flexible as it requires no assumptions on the form of return distributions.
Julia Schaumburg
core

