Results 11 to 20 of about 2,674 (172)

The powerbend distribution provides a unified model for the species abundance distribution across animals, plants and microbes [PDF]

open access: yesNature Communications
Remarkably, almost every ecological community investigated to date is composed of many rare species and a few abundant species. While the precise nature of this species abundance distribution is believed to reflect fundamental ecological principles ...
Yingnan Gao, Ahmed Abdullah, Martin Wu
doaj   +2 more sources

A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods [PDF]

open access: yesAccident Analysis and Prevention, 2008
Numerous efforts have been devoted to investigating crash occurrence as related to roadway design features, environmental factors and traffic conditions. However, most of the research has relied on univariate count models; that is, traffic crash counts at different levels of severity are estimated separately, which may neglect shared information in ...
Kara Kockelman, Paul Damien
exaly   +3 more sources

Methods to evaluate the effectiveness of advanced stop lines for motorcycles in improving road safety

open access: yesMethodsX, 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
doaj   +1 more source

Bivariate macro-level safety analysis of non-motorized vehicle crashes and crash-involved road users

open access: yesJournal 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
doaj   +1 more source

Bayesian Estimation of Parameters Correlation of Bivariate Poisson Distribution [PDF]

open access: yesفصلنامه 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
doaj   +1 more source

Mixed Poisson Regression Models with Varying Dispersion Arising from Non-Conjugate Mixing Distributions

open access: yesAlgorithms, 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
doaj   +1 more source

Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-Scale Perspective

open access: yesISPRS 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
doaj   +1 more source

Recovering the nonlinear density field from the galaxy distribution with a Poisson-Lognormal filter [PDF]

open access: yesMonthly Notices of the Royal Astronomical Society, 2009
17 pages, 9 figures, 1 ...
Kitaura, Francisco Shu   +2 more
openaire   +5 more sources

Log-Normal or Over-Dispersed Poisson?

open access: yesRisks, 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
doaj   +1 more source

A hierarchical poisson log-normal model for network inference from RNA sequencing data. [PDF]

open access: yesPLoS 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
doaj   +1 more source

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