Bayesian semiparametric zero-inflated Poisson model for longitudinal count data

Mathematical Biosciences

Volumn 224, Issue 2, 2010, Pages 126-130

  Dagne, Getachew A ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Bayesian inference; Insecticide; P spline; Random effects; Semiparametric model; Zero inflation

Indexed keywords

BAYESIAN; BAYESIAN APPROACHES; BAYESIAN INFERENCE; COVARIATES; NON-PARAMETRIC; NONLINEAR EFFECT; P-SPLINES; PARAMETRIC COMPONENTS; POISSON MODEL; RANDOM EFFECTS; SEMIPARAMETRIC; SEMIPARAMETRIC MODELS; SMOOTH FUNCTIONS; TIME INVARIANTS; TIME VARYING; TWO-COMPONENT; UNIFIED FRAMEWORK; UNOBSERVED HETEROGENEITY;

ALGEBRA; INFERENCE ENGINES; INSECTICIDES; LONGITUDINAL CONTROL; POISSON DISTRIBUTION; POISSON EQUATION; SPLINES;

BAYESIAN NETWORKS;

PESTICIDE;

BAYESIAN ANALYSIS; INSECTICIDE; NUMERICAL MODEL; POISSON RATIO; STOCHASTICITY;

ALGORITHM; ARTICLE; BAYES THEOREM; MATHEMATICAL MODEL; NONLINEAR SYSTEM; NONPARAMETRIC TEST; PEST CONTROL; POISSON DISTRIBUTION; STATISTICAL ANALYSIS; WHITEFLY;

ALGORITHMS; ANIMALS; BAYES THEOREM; BIOMETRY; HEMIPTERA; IMIDAZOLES; LONGITUDINAL STUDIES; MODELS, STATISTICAL; NITRO COMPOUNDS; PESTICIDES; POISSON DISTRIBUTION; PROBABILITY; REPRODUCTION;

ALEYRODIDAE;

EID: 77549084178     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2010.01.004     Document Type: Article

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