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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 17
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Original Articles

Bayesian analysis for zero-or-one inflated proportion data using quantile regression

Bruno SantosDepartamento de Estatística, Universidade de São Paulo, Rua do Matão 1010, São Paulo, SP, BrazilCorrespondence[email protected]
[email protected]
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Heleno BolfarineDepartamento de Estatística, Universidade de São Paulo, Rua do Matão 1010, São Paulo, SP, BrazilView further author information
Pages 3579-3593 | Received 18 May 2014, Accepted 09 Nov 2014, Published online: 28 Nov 2014

Citations (7)

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Read on this site (2)

Marcus G. L. Nascimento & Kelly C. M. Gonçalves. (2022) Bayesian variable selection in quantile regression with random effects: an application to Municipal Human Development Index. Journal of Applied Statistics 49:13, pages 3436-3450.
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J. Mazucheli, A. F. B. Menezes, L. B. Fernandes, R. P. de Oliveira & M. E. Ghitany. (2020) The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates. Journal of Applied Statistics 47:6, pages 954-974.
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Articles from other publishers (5)

Marzieh Shahmandi, Paul Wilson & Mike Thelwall. (2021) A Bayesian hurdle quantile regression model for citation analysis with mass points at lower values. Quantitative Science Studies 2:3, pages 912-931.
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Fábio M. Bayer, Francisco Cribari‐Neto & Jéssica Santos. (2021) Inflated Kumaraswamy regressions with application to water supply and sanitation in Brazil. Statistica Neerlandica 75:4, pages 453-481.
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André F. B. Menezes, Josmar Mazucheli & Marcelo Bourguignon. (2021) A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data. Biometrical Journal 63:4, pages 841-858.
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Jayabrata Biswas, Pulak Ghosh & Kiranmoy Das. (2020) A semi-parametric quantile regression approach to zero-inflated and incomplete longitudinal outcomes. AStA Advances in Statistical Analysis 104:2, pages 261-283.
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Bruno SantosHeleno Bolfarine. (2017) Bayesian quantile regression analysis for continuous data with a discrete component at zero. Statistical Modelling 18:1, pages 73-93.
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