[1] I. Gómez-Méndez and E. Joly, "Regression with missing data, a comparison study of techniques based on random forests," Journal of Statistical Computation and Simulation, vol. 93, no. 12, pp. 1924–1949, 2023. doi: 10.1080/00949655.2022.2163646.
[2] I. Gómez-Méndez and C. Amornbunchornvej, "Income, education, and other poverty-related variables: A journey through Bayesian hierarchical models," Heliyon, vol. 10, no. 6, art. no. e27968, Mar. 2024. doi: 10.1016/j.heliyon.2024.e27968.
[3] I. Gómez-Méndez and E. Joly, "On the consistency of a random forest algorithm in the presence of missing entries," Journal of Nonparametric Statistics, vol. 36, no. 2, pp. 400–434, 2024. doi: 10.1080/10485252.2023.2219783.
[4] I. Gómez-Méndez and C. Amornbunchornvej, "Regional and spatial dependence of poverty factors in Thailand, and its use in Bayesian hierarchical regression analysis," Statistical Journal of the IAOS, vol. 42, no. 1, pp. 322–337, 2026.
[5] I. Gómez-Méndez, "Random Forests and Autoencoders with Missing Data," Ph.D. dissertation, Centro de Investigación en Matemáticas (CIMAT), Guanajuato, Mexico, 2021.
