Cer-Ufba
Risk Studies Center´s Codes
Codes in R and Python referring to developed projects.
i) Classification control charts: https://github.com/llboaventura/class-chart
Boaventura, L.L.; FERREIRA, P.H.; Fiaccone, R.L.. On Flexible Statistical Process Control with Artificial Intelligence: Classification Control Charts. Expert Systems with Applications, v. 194, p. 116492, 2022.
ii) Prediction control charts: https://github.com/llboaventura/pred-chart
Boaventura, L.L.; Fiaccone, R.L.; Ferreira, P.H.. Prediction Control Charts: A New and Flexible Artificial Intelligence-Based Statistical Process Control Approach. Annals of Data Science. Published online: 12 August 2022.
iii) Unit-Lindley regression control charts: https://github.com/ProfNascimento/ULreg
FERREIRA, P.H.; Fonseca, A.; Nascimento, D.; Bonnail, E.; Louzada, F. Unraveling water monitoring association towards weather attributes for response proportions data: A unit-Lindley learning. PLoS ONE, v. 17, n. 10, p. e0275841, 2022.
iv) Hierarchical Bayesian model for the prediction of the 2020 Chilean Premier League: https://github.com/ProfNascimento/GLM_Chilean_Soccer_League
Blanco, L.B.; FERREIRA, P.H.; Louzada, F.; Nascimento, D.C. Is Football/Soccer Purely Stochastic, Made Out of Luck, or Maybe Predictable? How Does Bayesian Reasoning Assess Sports? Axioms, v. 10, 276, 2021.
v) Space-Time Approach for Count Data: Malaria Cases in the Legal Amazon. https://github.com/mkyou/malaria
vi) Geographically Weighted Bell Regression. https://github.com/mateus-dasilva-santos/Geographically-Weighted-Bell-Regression
vii) Dynamic Zero-Inflated Poisson Model for Predicting Football Matches in the Brazilian Championship. https://github.com/GabrielRibeiro211/Modelo-ZIP-Dinamico-Campeonato-Brasileiro
viii) Survival Analysis in soccer: A study of time until goals are scored in the main South American leagues. https://github.com/GustavoPxto/survival_goals