Results 21 to 30 of about 76,919 (275)
Bayesian Look at The Rare Event Distribution
Kashmir Journal of Science, 2023 In this article, Bayesian analysis of parameter () of Poisson distribution under simulated data is conducted. Posterior distributions are obtained under two informative (Gamma and Exponential) and two non-informative (Uniform and Jaffrey’s) priors.
Ehtasham Ahmed Zahoor +1 more
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A Bayesian-Deep Learning Model for Estimating COVID-19 Evolution in Spain
Mathematics, 2021 This work proposes a semi-parametric approach to estimate the evolution of COVID-19 (SARS-CoV-2) in Spain. Considering the sequences of 14-day cumulative incidence of all Spanish regions, it combines modern Deep Learning (DL) techniques for analyzing ...
Stefano Cabras
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Lattice permutations and Poisson-Dirichlet distribution of cycle lengths [PDF]
, 2012 We study random spatial permutations on ℤ3 where each jump x↦π(x) is penalized by a factor e−T∥x−π(x)∥2 . The system is known to exhibit a phase transition for low enough T where macroscopic cycles appear.
Daniel Ueltschi +6 more
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Generating Correlated and/or Overdispersed Count Data: A SAS Implementation
Journal of Statistical Software, 2016 Analysis of longitudinal count data has, for long, been done using a generalized linear mixed model (GLMM), in its Poisson-normal version, to account for correlation by specifying normal random effects.
George Kalema, Geert Molenberghs
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Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities [PDF]
, 2009 Estimating the parameters of multivariate mixed Poisson models is an important problem in image processing applications, especially for active imaging or astronomy.
Jean-Yves Tourneret +5 more
core +1 more source
Revista Mexicana de Economía y Finanzas, 2017 Main objective is to quantifying capital requirements of Operational Risk based on Bayesian inference by using an operational risk advanced measurement model, particularly when historical information is not available for a typical Mexican financial institution.
Griselda Dávila-Aragón +2 more
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Journal of the Japanese Society of Computational Statistics, 2016 Summary: In this paper, we consider the determination of the number of factors in nonnegative matrix factorization (NMF) for a zero-inflated data matrix. This zero-inflated case leads to poor approximation to the nonnegative data matrix. To address this problem, we use the zero-inflated compound Poisson-gamma distribution as the error distribution in ...
Abe, Hiroyasu, Yadohisa, Hiroshi
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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
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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
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IEEE Access, 2022 Hybrid recommendation, which is based on collaborative filtering and supplemented with auxiliary content information, is being actively researched due to its ability to overcome the cold-start problem.
Iwao Tanuma, Tomoko Matsui
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