Children With Tetralogy of Fallot in an Urban Centre in Africa [PDF]
Introduction: There is a dearth of literature on tetralogy of fallot (TOF) in children in Sub-Saharan Africa. This study up aims to describe the prevalence, clinical profile and associated cardiac anomaly of children diagnosed with TOF documented over an
Barakat Adeola Animasahun +3 more
doaj +1 more source
GENERALIZED ASYMMETRIC POWER ARCH MODELING OF NATIONAL STOCK MARKET RETURNS
Uygulamalı çalışmalar finansal varlık getirilerinin şişman kuyruk (leptokurtosis) özelliği sergilediklerini ve genellikle oynaklık kümelenmesi ve asimetrik yapı ile nitelendirildiklerini göstermiştir.
Mert Ural
doaj +4 more sources
Parameter Estimation of a Linear ARX Model With Skewed Heavy-Tailed Noise
An online variational Bayesian algorithm based on a skewed Student’s $t$ - distribution, referred to as OVB-skewt, is proposed for robust parameter estimation in linear AutoRegressive with eXogenous inputs (ARX) models. In practical applications,
Xin Chen, Jialong Zhang
doaj +1 more source
Bayesian Predictive Densities as an Interpretation of a Class of Skew–Student t Distributions with Application to Medical Data [PDF]
This paper describes a new Bayesian interpretation of a class of skew–Student t distributions. We consider a hierarchical normal model with unknown covariance matrix and show that by imposing different restrictions on the parameter space, corresponding Bayes predictive density estimators under Kullback-Leibler loss function embrace some well-known skew–
Abdolnasser Sadeghkhani, Syed Ejaz Ahmed
openaire +1 more source
An empirical application of a stochastic volatility model with GH skew Student's t -distribution to the volatility of Latin-American stock returns [PDF]
Abstract Using daily stocks returns data of a set of Latin-American countries (Argentina, Brazil, Chile, Mexico and Peru) for the sample period 1996:01–2013:12, we estimate a stochastic volatility model incorporating both leverage effects and skewed heavy-tailed disturbances through of the GH Skew Student's t-distribution based on Bayesian estimation
Patricia Lengua Lafosse +1 more
openaire +1 more source
Bayesian analysis of stochastic volatility-in-mean model with leverage and asymmetrically heavy-tailed error using generalized hyperbolic skew Student’s t-distribution [PDF]
A stochastic volatility-in-mean model with correlated errors using the generalized hyperbolic skew Student-t (GHST) distribution provides a robust alternative to the parameter estimation for daily stock returns in the absence of normality. An efficient Markov chain Monte Carlo (MCMC) sampling algorithm is developed for parameter estimation.
William L, Leão +2 more
openaire +2 more sources
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source

