Results 21 to 30 of about 14,618,835 (284)
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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Modeling Sage data with a truncated gamma-Poisson model
BMC Bioinformatics, 2006 Background Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample.
Zwinderman Aeilko H, Thygesen Helene H
doaj +1 more source
Mathematics, 2021 In optimal experimental design theory it is usually assumed that the response variable follows a normal distribution with constant variance. However, some works assume other probability distributions based on additional information or practitioner’s ...
Sergio Pozuelo-Campos +2 more
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Journal of Arthropod-Borne Diseases, 2021 Background: Malaria is the third most important infectious disease in the world. WHO propose programs for controlling and elimination of the disease. Malaria elimination program has begun in first phase in Iran from 2010.
A. Ghanbarnejad +4 more
semanticscholar +1 more source
Poisson algebras via model theory and differential-algebraic geometry [PDF]
, 2017 Brown and Gordon asked whether the Poisson Dixmier–Moeglin equivalence holds for any complex affine Poisson algebra, that is, whether the sets of Poisson rational ideals, Poisson primitive ideals, and Poisson locally closed ideals coincide.
Moosa, Rahim +8 more
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Journal of ICT, 2022 Pneumonia is one of the primary causes of death from infectious diseases. Traditionally, its spread has been tracked based on the total number of cases reported, with no concern for geographical distribution.
Ijlal Mohd Diah, Nazrina Aziz
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DESIGNING AN OFFSET POISSON-GAMMA MIXTURE REGRESSION MODEL [PDF]
, 2021 The problem of over-dispersion often encountered by Poisson distribution is what gave rise to the development of the Poisson-Gamma mixture distribution. This distribution is a mixture of a family of Poisson distributions with Gamma mixing weights.
Nja, Mbe E., Nduka, E. C., ogoke, P. U.
core
Particle swarm optimization algorithm for parameter estimation in Gamma-Poisson distribution model of k-tree distance [PDF]
Computational Ecology and Software, 2015 Distance sampling is a flexible and efficient inventory technique in forestry and ecology, especially in highly dense plant communities, and in difficult terrain. Point-to-tree distance or tree-to-tree distance was used to estimate characteristics of the
Feixia Lu, Dingyuan Mo, Meng Gao
doaj
Zero: Jurnal Sains, Matematika, dan Terapan, 2023 The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus.
Yurid Audina +2 more
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A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks [PDF]
AAAI Conference on Artificial Intelligence, 2018 We present a probabilistic model for learning from dynamic relational data, wherein the observed interactions among networked nodes are modeled via the Bernoulli Poisson link function, and the underlying network structure are characterized by ...
Sikun Yang, H. Koeppl
semanticscholar +1 more source