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A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data
ArticleAbstract: Generation of massive data in the digital age leads to possible violations of individual privacy. ThPalabras claves:anonymity, Confidentiality, Data breach and fitting, Linear and logistic regressions, Monte carlo simulation, Perturbations of data, Statistical consistency and modelingAutores:Carlos Martin-Barreiro, Leiva V., Manchini C., Ospina R.Fuentes:googlescopusA new birnbaum–saunders distribution and its mathematical features applied to bimodal real-world data from environment and medicine
ArticleAbstract: In this paper, we propose and derive a Birnbaum–Saunders distribution to model bimodal data. This nePalabras claves:Birnbaum–saunders distribution, data science, Estimation of moments and maximum likelihood, Monte Carlo method, Polynomial functions, Proportionate-effect law, R SoftwareAutores:Arrué J., Carlos Martin-Barreiro, Leiva V., Reyes J.Fuentes:googlescopusWeibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery
ArticleAbstract: In this article, we propose a comparative study between two models that can be used by researchers fPalabras claves:binary trees, Harrell index, model diagnostics, non-normal regression, random forest, statistical software, survival statistical analysis, variable importance, Weibull modelAutores:Carlos Martin-Barreiro, Cavalcante T., Leiva V., Ospina R., Xavier CabezasFuentes:googlescopus