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The Sparse Poisson Means Model
Electronic Journal of Statistics, 2015 We consider the problem of detecting a sparse Poisson mixture. Our results parallel those for the detection of a sparse normal mixture, pioneered by Ingster (1997) and Donoho and Jin (2004), when the Poisson means are larger than logarithmic in the ...
Arias-Castro, Ery, Wang, Meng
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A beta-Poisson model for infectious disease transmission. [PDF]
PLoS Computational BiologyOutbreaks of emerging and zoonotic infections represent a substantial threat to human health and well-being. These outbreaks tend to be characterised by highly stochastic transmission dynamics with intense variation in transmission potential between ...
Joe Hilton, Ian Hall
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Non Linear Relationship between BMI and Sepsis among ICU Patients: Analysis of the MIMIC-III Real World Database [PDF]
Journal of Clinical and Diagnostic Research, 2023 Introduction: The relationship between occurrence of sepsis and Body Mass Index (BMI) has been studied by treating BMI as a categorical variable based on the standard categories developed by the World Health Organisation (WHO).
MK Lintu +4 more
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On a comparative analysis of the impact of democracy on regulatory reform [PDF]
The European Journal of Comparative Economics, 2022 This paper questions the effect of democracy on regulatory reforms by mainly checking whether the observed differences between the transition economies and the rest of the economies in terms of engaged reforms are related to the level of democracy.
Christian-Lambert Nguena
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Poisson regression model with change points [PDF]
Journal of Applied Research on Industrial Engineering, 2021 There are many different fields the change point analysis arises. In those cases, the main problem is locating the unknown change points. The aim of this study is to detect location and time of change point in Poisson regression model.
Reza Habibi
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Cogent Food & Agriculture, 2021 Sheep marketing is playing a great role in improving the livelihoods of smallholder farmers in Ethiopia. Although it plays a great role, the smallholder farmers are not sufficiently participating in the sheep market so they are poor.
Dubale Abate, Yonnas Addis
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Fitting additive Poisson models [PDF]
Epidemiologic Perspectives & Innovations, 2010 AbstractThis paper describes how to fit an additive Poisson model using standard software. It is illustrated with SAS code, but can be similarly used for other software packages.
Boshuizen, H.C., Feskens, E.J.M.
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Modelling Generalized Poisson Regression in the Number of Dengue Hemorrhagic Fever (DHF) in East Nusa Tenggara [PDF]
E3S Web of Conferences, 2020 Regression analysis is an analysis used to model the relationship between the dependent variable (Y) and the independent variable (X). If the dependent variable is a discrete random variable, it is developed using the Poisson regression model.
Prahutama Alan +2 more
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Poisson Reduction and Branes in Poisson?Sigma Models [PDF]
Letters in Mathematical Physics, 2004 18 pages. Version to appear in Lett.
Calvo, Iván, Falceto, Fernando
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Zero-Dependent Bivariate Poisson Distribution with Applications
Mathematics, 2023 The bivariate Poisson model is the most widely used model for bivariate counts, and in recent years, several bivariate Poisson regression models have been developed in order to analyse two response variables that are possibly correlated. In this paper, a
Najla Qarmalah, Abdulhamid A. Alzaid
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