Dirichlet process mixture models using matrix‐generalized half‐t distribution [PDF]
, 2023 Sanghyun Lee, Chanmin Kim
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Reflective Pathways: Integrating Empathy Into the STEM Student Experiences
Future in Educational Research, EarlyView.ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal +3 more
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Diffusions on a space of interval partitions with Poisson-Dirichlet stationary distributions [PDF]
, 2016 Noah Forman +3 more
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Efficient analysis of overdispersed data using an accurate computation of the Dirichlet multinomial distribution [PDF]
, 2023 Sherenaz W. Al-Haj Baddar +2 more
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Poisson–Dirichlet distribution for random Belyi surfaces
The Annals of Probability, 2006 Published at http://dx.doi.org/10.1214/009117906000000223 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
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Moment Properties of the Multivariate Dirichlet Distributions
Journal of Multivariate Analysis, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gupta, Rameshwar D. +1 more
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A Mathematical Model for Two‐Phase Flow in Confined Environments: Numerical Solution and Validation
International Journal for Numerical Methods in Fluids, EarlyView.We present a numerical framework based on the Cahn‐Hilliard‐Navier‐Stokes (CHNS) model to simulate biphasic flow in confined environments. After deriving the mathematical model, we develop the weak form of the system of PDEs using a pedagogical approach to enable its implementation in FEniCS.
Giuseppe Sciumè +3 more
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Remote screening of athletes' condition dynamics based on the analysis of cardiointervalograms using the Dirichlet distribution [PDF]
, 2020 В.М. Леванов +3 more
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Sparse and Crowded Cells and Dirichlet Distributions
The Annals of Statistics, 1974 cepts of sparseness and crowdedness are introduced for these b blue cells based on a fixed number n of observations. The (Type 1) Dirichlet distribution is used to evaluate the probability laws, the cumulative distribution functions (cdf's), the moments, the joint probability law and the joint moments of the number S of sparse blue cells and the number
Sobel, Milton, Uppuluri, V. R. R.
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International Journal for Numerical Methods in Fluids, EarlyView.The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault +6 more
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