Results 141 to 150 of about 433,672 (329)
Discussion on Skew-normal Approximation of a Binomial Distribution
Approximating a binomial distribution by a suitable normal distribution is a well known practice, and widely discussed in introductory level statistics books. Recently it has been shown (in Chang et al.
Chang, Ching-hui; Lin, Jyh-jiuan; Pal, Nabendu; Chiang, Miao-chen
core
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
On the correlation structures of multivariate skew-normal distribution
Skew-normal distribution is an extension of the normal distribution where the symmetry of the normal distribution is distorted with an extra parameter. A multivariate skew-normal distribution has been parametrized differently to stress different aspects ...
Käärik, Meelis +2 more
core +1 more source
We develop a new empirical Bayes analysis in multiple regression models. In the present work we consider multivariate skewnormal as prior for coefficients of the model in a skew-normal population and give empirical Bayes estimation for parameters of ...
M. Khounsiavash +2 more
doaj
ABSTRACT Despite the transformative impact of cancer immunotherapies such as immune checkpoint blockade, durable clinical responses remain limited. Increasing evidence indicates that antitumor immunity is governed not only by the tumor microenvironment, but also by systemic immune regulation mediated by peripheral immune organs. Among these, the spleen
Yuehua Liu, Xiaoqian Nie, Xiaofei Gao
wiley +1 more source
Examining the Skew-Normal Distribution
We wish to examine the skew-normal distribution, its properties, and provide proofs. We then wish to extend our exploration from this vantage point. Along the way, we will explore variance-mean mixture models, the variance-gamma (VG) distribution, and ...
Hossler, John
core
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Lambert W normal distribution: a viable extension for skew-normal?
Several distributions and families of distributions, such as skew-normal and related distributions, are proposed to model skewed data. Lambert W transformation offers a flexible approach to introduce skewness to any random variable.
Käärik, Meelis, Selart, Anne
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CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu +12 more
wiley +1 more source
Exosomal miR‐146a‐5p is identified as a pivotal regulator in steroid‐induced osteonecrosis. Its reduction activates NF‐κB signaling, compromises mitophagy, and disrupts mitochondrial bioenergetics, resulting in autophagic disequilibrium. Engineered exosomes delivering miR‐146a‐5p reinstate mitochondrial function, augment oxidative phosphorylation and ...
Zehui Lv +13 more
wiley +1 more source

