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Poisson-Lognormal Mixed Model Based Estimation in Clustered Longitudinal Count Data Analysis

University of Mauritius Research Journal, 2016
Poisson mixed models are useful for accommodating the overdispersion and correlations often observed among count data. These models are generated from the well-known independent Poisson model by adding normally distributed random effects to the linear predictor, and they are known as Poisson-log-normal mixed models.
Jowaheer, V
openaire   +3 more sources

Bayesian Poisson‐Lognormal Regression With Compositional Effect Shares for Multivariate Count Data

Environmetrics
ABSTRACT Multivariate count data are central in community ecology and related fields, where interest lies in how environmental gradients and management actions jointly shape the abundances of many taxa. The Poisson‐lognormal (PLN) model is a natural workhorse in this setting, accommodating overdispersion and cross‐
openaire   +1 more source

Applying Extreme Value Theory to a Century of Ammonium Nitrate Disasters: Persistent Safety Risks in Chemical Supply Chains. [PDF]

Risk Anal
Sin G.
europepmc   +1 more source

From point to probabilistic gradient boosting for claim frequency and severity prediction. [PDF]

Eur Actuar J
Chevalier D, Côté MP.
europepmc   +1 more source

Quantitative Risk Assessment of Hepatitis E Virus from Shellfish Consumption Among Chinese Residents Using Monte Carlo Simulation. [PDF]

Microorganisms
Xie Q, Liu Y, Zhang Z, Zhang H, Xu J, Wang Y, Zhao Y.   +6 more
europepmc   +1 more source

A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making. [PDF]

BMC Infect Dis
Zhang H, Lee CY, Qu Y.
europepmc   +1 more source

Assessment of dispersion metrics for estimating single-cell transcriptional variability. [PDF]

PLoS Comput Biol
Chen T, Boyer LA, Agarwal D.
europepmc   +1 more source

Optimization of tray inventory levels in hospitals from an integral perspective. [PDF]

Health Care Manag Sci
Bos H, Hosteins G, Wijnholds W, Braaksma A, Leeftink G.   +4 more
europepmc   +1 more source

Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons. [PDF]

Front Comput Neurosci
Godin C, Thivierge JP.
europepmc   +1 more source

Isolating selective from non-selective forces using site frequency ratios. [PDF]

PLoS Genet
Hey J, Pavinato VAC.
europepmc   +1 more source