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Explicit Gaussian Variational Approximation for the Poisson Lognormal Mixed Model
Mathematics, 2022 In recent years, the Poisson lognormal mixed model has been frequently used in modeling count data because it can accommodate both the over-dispersion of the data and the existence of within-subject correlation.
Xiang-Sheng Wang, Xiaoping Shi
exaly +5 more sources
Multivariate Poisson Lognormal Distribution for Modeling Counts From Modern Biological Data: An Overview [PDF]
Computational and Structural Biotechnology JournalModern biological data are often multivariate discrete counts, and there has been a dearth of statistical distributions to directly model such counts in an efficient manner.
Sanjeena Dang, Utkarsh Dang
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Effects of Road Network Characteristics on Bicycle Safety: A Multivariate Poisson-Lognormal Model
Multimodal Transportation, 2022 Although cycling has benefits to environment and physical health, bicyclists are vulnerable road users. Prior studies have identified the environment, traffic and road user factors that affect the risk of bicycle-related crashes. However, it is rare that
Tony Sze, Hongliang Ding
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MethodsX, 2021 In Barcelona, Advanced Stop Lines (ASL) for motorcycles, were implemented since 2009. This paper aims to describe the process followed in determining the best statistical model to analyse the effectiveness of ASL in preventing road traffic injury ...
Elena Santamariña-Rubio +1 more
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Bivariate macro-level safety analysis of non-motorized vehicle crashes and crash-involved road users
Journal of Traffic and Transportation Engineering (English ed. Online), 2022 The high risk of injury resulting from non-motorized vehicle (NMV) crashes has created the goal of using the 3E strategy to comprehensively improve NMV safety.
Zhicheng Dai, Xuesong Wang
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Algorithms, 2021 In this article we present a class of mixed Poisson regression models with varying dispersion arising from non-conjugate to the Poisson mixing distributions for modelling overdispersed claim counts in non-life insurance.
George Tzougas, Natalia Hong, Ryan Ho
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Bayesian Estimation of Parameters Correlation of Bivariate Poisson Distribution [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2016 In this study, based on Bayesian Generalized Linear Models, correlation between the parameters of two Poisson distributions was computed. Due to lack of the closed form for posterior distribution, hierarchical Bayesian statistics using the Metropolis ...
Farzad Eskandari
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ISPRS International Journal of Geo-Information, 2021 The outbreak of COVID-19 has constantly exposed health care workers (HCWs) around the world to a high risk of infection. To more accurately discover the infection differences among high-risk occupations and institutions, Hubei Province was taken as an ...
Hui Ren +3 more
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Log-Normal or Over-Dispersed Poisson?
Risks, 2018 Although both over-dispersed Poisson and log-normal chain-ladder models are popular in claim reserving, it is not obvious when to choose which model. Yet, the two models are obviously different. While the over-dispersed Poisson model imposes the variance
Jonas Harnau
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A hierarchical poisson log-normal model for network inference from RNA sequencing data. [PDF]
PLoS ONE, 2013 Gene network inference from transcriptomic data is an important methodological challenge and a key aspect of systems biology. Although several methods have been proposed to infer networks from microarray data, there is a need for inference methods able ...
Mélina Gallopin +2 more
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