Extremal properties of the univariate extended skew-normal distribution [PDF]
arXiv, 2018 We consider the extremal properties of the highly flexible univariate extended skew-normal distribution. We derive the well-known Mills' inequalities and Mills' ratio for the extended skew-normal distribution and establish the asymptotic extreme-value distribution for the maximum of samples drawn from this distribution.
arxiv
Modeling of truncated normal distribution for estimating hydraulic parameters in water distribution systems: taking nodal water demand as an example. [PDF]
J Hydroinform, 2023 Shao Y, Li K, Zhang T, Yang YJ, Chu S.
europepmc +1 more source
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
Molecular Oncology, EarlyView.We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas +15 more
wiley +1 more source
Matrix normal distribution and elliptic distribution [PDF]
arXivIn this paper, we introduce the matrix normal distribution according to the tensor decomposition of its covariance. Based on the canonical diagonal form, the moment generating function of sample covariance matrix and the distribution of latent roots are explicitly calculated. We also discuss the connections between matrix normal distributions, elliptic
arxiv
Univariate Likelihood Projections and Characterizations of the Multivariate Normal Distribution [PDF]
arXiv, 2019 The problem of characterizing a multivariate distribution of a random vector using examination of univariate combinations of vector components is an essential issue of multivariate analysis. The likelihood principle plays a prominent role in developing powerful statistical inference tools.
arxiv
Integral, mean and covariance of the simplex-truncated multivariate normal distribution. [PDF]
PLoS One, 2022 Adams MP.
europepmc +1 more source
Molecular Oncology, EarlyView.Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien +7 more
wiley +1 more source
On the Normal Approximation to the Hypergeometric Distribution [PDF]
, 1956 W. L. Nicholson
openalex +1 more source
Random Tensors and their Normal Distributions [PDF]
arXiv, 2019 The main purpose of this paper is to introduce the random tensor with normal distribution, which promotes the matrix normal distribution to a higher order case. Some basic knowledge on tensors are introduced before we focus on the random tensors whose entries follow normal distribution.
arxiv
Objective Bayesian Estimation for the Differential Entropy Measure Under Generalized Half-Normal Distribution. [PDF]
Bull Malays Math Sci Soc, 2023 Ahmadi K, Akbari M, Raqab MZ.
europepmc +1 more source