Results 51 to 60 of about 14,479,772 (204)
Inexact Bregman iteration with an application to Poisson data reconstruction [PDF]
, 2013 This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Ruggiero, V +3 more
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A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data
Frontiers in MicrobiologyMotivationHigh-throughput sequencing technology facilitates the quantitative analysis of microbial communities, improving the capacity to investigate the associations between the human microbiome and diseases.
Jinling Chi, Jimin Ye, Ying Zhou
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Heliyon, 2021 This study discusses the development of Zero Inflated Generalized Poisson Regression (ZIGPR) with two response variables, that is Bivariate ZIGPR (BZIGPR). The extension of the ZIGPR model by considering spatial factor called Geographically Weighted Zero
Purhadi +3 more
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Poisson-generalized gamma empirical Bayes model for disease mapping [PDF]
, 2018 In spatial disease mapping, the use of Bayesian models of estimation technique is becoming popular for smoothing relative risks estimates for disease mapping.
Ray Okafor +2 more
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Poverty and malaria morbidity in the Jirapa District of Ghana: A count regression approach
Cogent Economics & Finance, 2017 Malaria potentially affects everyone in the tropics and sub-tropics, however, the poor and vulnerable are worse affected mainly due to the socio-economic constraints that confront them. In Ghana, the Upper West Region, which is the poorest, is one of the
Paul Kwame Nkegbe +2 more
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Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023 COVID-19 entered Indonesia in March 2020 and included North Kalimantan Province, Tarakan. COVID-19 cases have outspread in Tarakan. The cause of the outspread and the patterns were not known yet. One relevant approach was to use Generalized Linear Models.
A'yunin Sofro +2 more
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Generalized Yang Poisson Models on Canonical Phase Space [PDF]
Symmetry, Integrability and Geometry: Methods and ApplicationsWe discuss the generalized Yang Poisson models. We construct generalizations of the Yang Poisson algebra related to $\mathfrak{o}(1,5)$ algebra discussed by Meljanac and Mignemi (2023). The exact realizations of this generalized algebra on canonical phase space are presented and the corresponding differential equations are solved in simple cases ...
Martinić Bilać, Tea +2 more
openaire +3 more sources
Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información, 2011 Este artículo explora la modelación del número de autores que colaboran en la publicación de un artículo. Con ese fin se analizaron la distribución geométrica, la distribución Poisson truncada, la distribución Poisson lognormal y la distribución Gauss ...
Rubén Urbizagástegui Alvarado +1 more
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Poisson–Lie T-duals of the bi-Yang–Baxter models
Physics Letters B, 2016 We prove the conjecture of Sfetsos, Siampos and Thompson that suitable analytic continuations of the Poisson–Lie T-duals of the bi-Yang–Baxter sigma models coincide with the recently introduced generalized λ-models.
Ctirad Klimčík
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A New Extension of the Generalized Half Logistic Distribution with Applications to Real Data
Entropy, 2019 In this paper, we introduced a new three-parameter probability model called Poisson generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing, unimodal and bathtub failure rates depending on the parameters. The relationship of
Mustapha Muhammad, Lixia Liu
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