Poisson regression

In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson… (More)
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Highly Cited
2012
Highly Cited
2012
HiCNorm: removing biases in Hi-C data via Poisson regression
SUMMARY We propose a parametric model, HiCNorm, to remove systematic biases in the raw Hi-C contact maps, resulting in a simple… (More)
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Highly Cited
2012
Highly Cited
2012
Counting People With Low-Level Features and Bayesian Regression
An approach to the problem of estimating the size of inhomogeneous crowds, which are composed of pedestrians that travel in… (More)
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Highly Cited
2011
Highly Cited
2011
Categorical Data Analysis
Modeling and inferential procedures (estimation and precision assessment) are discussed for a single proportion, thereafter in… (More)
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Highly Cited
2009
Highly Cited
2009
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is… (More)
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2007
2007
Handling Overdispersion with Negative Binomial and Generalized Poisson Regression Models
In actuarial hteramre, researchers suggested various statistical procedures to estimate the parameters in claim count or… (More)
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Highly Cited
2007
Highly Cited
2007
Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2006
Highly Cited
2006
Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models
Abstract: We present several modifications of the Poisson and negative binomial models for count data to accommodate cases in… (More)
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2005
2005
Multivariate Poisson regression with covariance structure
In recent years the applications of multivariate Poisson models have increased, mainly because of the gradual increase in… (More)
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Highly Cited
2000
Highly Cited
2000
Poisson-Based Regression Analysis of Aggregate Crime Rates
This article introduces the use of regression models based on the Poisson distribution as a tool for resolving common problems in… (More)
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Highly Cited
1988
Highly Cited
1988
Statistical Models for Political Science Event Counts : Bias in Conventional Procedures and Evidence for the Exponential Poisson Regression Model *
This paper presents analytical, Monte Carlo, and empirical evidence on models for event count data. Event counts are dependent… (More)
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