Results 61 to 70 of about 6,790,902 (292)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution [PDF]

Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student's t-error distribution is described where we first consider an asymmetric heavy-tailness as well as leverage effects. An efficient Markov chain Monte Carlo
Jouchi Nakajima, Yasuhiro Omori
core   +2 more sources

Some Information Properties of Order Statistics of Skew-normal Distribution

Revstat Statistical Journal
The skew-normal distribution and some of its extensions have been considered in the last two decades in view of distribution theory and the associated properties. However, less attention has been paid to other aspects of this family of distributions. In
Parisa Hasanalipour, Mostafa Razmkhah, Gholamreza Mohtashami Borzadaran   +2 more
doaj   +1 more source

The standard error of the Pearson skew [PDF]

Tutorials in Quantitative Methods for Psychology, 2015
The Pearson skew is a measure of asymmetry of a distribution, based on the difference between the mean and the median of a distribution. Here we show how to calculate the Pearson skew, estimate its standard error and the confidence interval.
Bradley Harding, Christophe Tremblay, Denis Cousineau   +2 more
doaj  

SKEW NORMAL AND SKEW STUDENT-T DISTRIBUTIONS ON GARCH(1,1) MODEL

Media Statistika, 2021
The Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) type models have become important tools in financial application since their ability to estimate the volatility of financial time series data.
Didit Budi Nugroho, Agus Priyono, Bambang Susanto   +2 more
doaj   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

A multivariate modified skew-normal distribution

, 2023
We introduce a multivariate version of the modified skew-normal distribution, which contains the multivariate normal distribution as a special case. Unlike the Azzalini multivariate skew-normal distribution, this new distribution has a nonsingular Fisher
Mondal, Sagnik, Genton, Marc G., Arellano-Valle, Reinaldo B.   +2 more
core   +1 more source

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source

Generalized Skew-Normal Negentropy and Its Application to Fish Condition Factor Time Series

Entropy, 2017
The problem of measuring the disparity of a particular probability density function from a normal one has been addressed in several recent studies. The most used technique to deal with the problem has been exact expressions using information measures ...
Reinaldo B. Arellano-Valle, Javier E. Contreras-Reyes, Milan Stehlík   +2 more
doaj   +1 more source

Colossal Magnetic-Field-Induced Anomalous Hall Conductivity in a Kagome Antiferromagnet YMn₆Sn₆. [PDF]

Adv Sci (Weinh)
Magnetic‐field‐driven spin canting in the kagome antiferromagnet YMn6Sn6${\rm YMn}_6{\rm Sn}_6$ reshapes flat and Dirac bands near the Fermi level, redistributing Berry curvature and producing colossal anomalous Hall conductivity. The study reveals how magnetic configuration and clean‐limit skew scattering cooperate to amplify Hall transport, offering ...
Choi M, Kim H, Sung M, Seo H, Choi J, Kim J, Jo Y, Yeom HW, Jin KH, Kim JS.   +9 more
europepmc   +2 more sources