Simulation-based Inference in a Zero-inflated Bernoulli Regression Model

DOI10.1080/03610918.2014.950743zbMath1348.62215OpenAlexW2015497376WikidataQ59245342 ScholiaQ59245342MaRDI QIDQ2828772

Aba Diop, Aliou Diop, Jean-François Dupuy

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.950743

zbMATH Keywords

convergencemaximum likelihood estimationsimulationsmixture modellogistic regression model

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (6)

Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates ⋮ Asymptotic results in censored zero-inflated Poisson regression ⋮ Estimation in zero-inflated binomial regression with missing covariates ⋮ Analysis of multinomial counts with joint zero-inflation, with an application to health economics ⋮ Statistical inference in a zero-inflated Bell regression model ⋮ Semiparametric zero-inflated Bernoulli regression with applications

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