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Theory and Methods

Objective Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions

Pages 697-710 | Received 01 Jan 2013, Published online: 06 Jul 2015

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Victor H. Lachos, Dipak K. Dey, Vicente G. Cancho & Francisco Louzada. (2017) Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation 87:10, pages 2002-2022.
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Francisco J. Rubio & Keming Yu. (2017) Flexible objective Bayesian linear regression with applications in survival analysis. Journal of Applied Statistics 44:5, pages 798-810.
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Francisco J. Rubio & Yili Hong. (2016) Survival and lifetime data analysis with a flexible class of distributions. Journal of Applied Statistics 43:10, pages 1794-1813.
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Worku B. Ewnetu, Irène Gijbels & Anneleen Verhasselt. (2022) Flexible two-piece distributions for right censored survival data. Lifetime Data Analysis 29:1, pages 34-65.
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Paulo H. Ferreira, Eduardo Ramos, Pedro L. Ramos, Jhon F.B. Gonzales, Vera L.D. Tomazella, Ricardo S. Ehlers, Eveliny B. Silva & Francisco Louzada. (2020) Objective Bayesian analysis for the Lomax distribution. Statistics & Probability Letters 159, pages 108677.
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Nils Eling, Arianne C. Richard, Sylvia Richardson, John C. Marioni & Catalina A. Vallejos. (2018) Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data. Cell Systems 7:3, pages 284-294.e12.
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Guido Consonni, Dimitris Fouskakis, Brunero Liseo & Ioannis Ntzoufras. (2018) Prior Distributions for Objective Bayesian Analysis. Bayesian Analysis 13:2.
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Rivert P. Braga Oliveira, Rosangela H. Loschi & Marta A. Freitas. (2018) Skew-Heavy-Tailed Degradation Models: An Application to Train Wheel Degradation. IEEE Transactions on Reliability 67:1, pages 129-141.
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F. J. Rubio & M. F. J. Steel. (2018) Flexible linear mixed models with improper priors for longitudinal and survival data. Electronic Journal of Statistics 12:1.
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Catalina A. Vallejos & Mark F.J. Steel. (2017) Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach. Econometrics and Statistics 3, pages 73-88.
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Mingyang Li, Wanzhong Chen & Tao Zhang. (2017) Application of MODWT and log-normal distribution model for automatic epilepsy identification. Biocybernetics and Biomedical Engineering 37:4, pages 679-689.
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Francisco J. RubioMarc G. Genton. (2016) Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis. Statistics in Medicine 35:14, pages 2441-2454.
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M. C. Jones & Angela Noufaily. (2015) Log-location-scale-log-concave distributions for survival and reliability analysis. Electronic Journal of Statistics 9:2.
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Hanpu Zhou, Xinyi Zhang & Wang Hong. (2022) Few-Shot Learning for Handling Highly Censored Survival Data. SSRN Electronic Journal.
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