Comparative evaluation of alternative Bayesian semi-parametric spatial crash frequency models
Journal of Traffic and Transportation Engineering (English ed. Online)Albeit with the notable benefits associated with Dirichlet crash frequency models and spatial ones, there is little research dedicated to exploring their combined advantages.
Gurdiljot Singh Gill +3 more
doaj +1 more source
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
AIChE Journal, EarlyView.Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Riemann zeta fractional derivative—functional equation and link with primes
Advances in Difference Equations, 2019 This paper outlines further properties concerning the fractional derivative of the Riemann ζ function. The functional equation, computed by the introduction of the Grünwald–Letnikov fractional derivative, is rewritten in a simplified form that reduces ...
Emanuel Guariglia
doaj +1 more source
Asymptotics of Entropy of the Dirichlet-Multinomial Distribution
2019 IEEE International Symposium on Information Theory (ISIT), 2019 Dirichlet distribution and multinomial distribution play important role in information theory and statistics. They find applications in estimation, average minimax redundancy in source coding, Polya urn model, and graph compression. Dirichlet-multinomial distribution is a multinomial distribution in which parameters are distributed according to the ...
Krzysztof Turowski +2 more
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Dirichlet mean identities and laws of a class of subordinators
, 2010 An interesting line of research is the investigation of the laws of random variables known as Dirichlet means. However, there is not much information on interrelationships between different Dirichlet means.
James, Lancelot F.
core +2 more sources
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Interactive R App for Carrying Out an Elicitation Process Applied to Prostate Cancer in Colombia [PDF]
Revista Română de Statistică, 2015 In this paper is presented an interactive R-application for carried out an elicitation process to the vector of parameters of the Multinomial distribution. The application is developed mainly under two R libraries, Shiny and RSQLite.
Andrés Felipe Flórez Rivera +2 more
doaj
Human Activity Recognition with an HMM-Based Generative Model
Sensors, 2023 Human activity recognition (HAR) has become an interesting topic in healthcare. This application is important in various domains, such as health monitoring, supporting elders, and disease diagnosis.
Narges Manouchehri, Nizar Bouguila
doaj +1 more source
MPrESS: An R-Package for Accurately Predicting Power for Comparisons of 16S rRNA Microbiome Taxa Distributions including Simulation by Dirichlet Mixture Modeling [PDF]
, 2023 Thomas H. Clarke +4 more
openalex +1 more source