Sieve maximum likelihood estimation for doubly semiparametric zero-inflated Poisson models

DOI10.1016/j.jmva.2010.05.003zbMath1203.62067OpenAlexW2075891842WikidataQ34019252 ScholiaQ34019252MaRDI QIDQ990888

Ning-Zhong Shi, Hongqi Xue, Xuming He

Publication date: 1 September 2010

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2010.05.003

zbMATH Keywords

asymptotic efficiencypartly linear modelsieve maximum likelihood estimatorzero-inflated Poisson model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items

Parameter estimation for semiparametric ordinary differential equation models, Asymptotic results in censored zero-inflated Poisson regression, A constrained marginal zero-inflated binomial regression model, Survival Analysis via Ordinary Differential Equations, Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring, A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data, Inference on zero inflated ordinal models with semiparametric link, Semiparametric zero-inflated Bernoulli regression with applications

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