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
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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
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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
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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
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Abstract Activation functions are a fundamental component of deep neural networks and enable the learning of complex data representations by introducing nonlinearity between layers. Existing activation functions such as ReLU, ELU, Swish and Mish have achieved successful results on various tasks. However, ReLU leads to the “dead neuron”
Özcan Küçükalİ +3 more
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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
Renyi Entropy Derivation for a Modified Skewed Student-t Distribution
This paper derives the Renyi entropy for a modified Skew Student-t distribution (SStD). The skew Student-t distribution was modified using DUS transformation technique. The final expression of the Renyi entropy was derived using the probability density function of the transformed (SStD).
E. N. Okeke +2 more
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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
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
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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

