Renato S Silva

Performance and parameterization of the algorithm Simplified Generalized Simulated Annealing

K. C. Mundim, Alcino Dall’Igna Júnior, Renato S Silva, 2004 .

Extreme Value Theory Applied to r Largest Order Statistics Under the Bayesian Approach Teoría de valores extremos aplicada a las r estadísticas de orden superior desde el punto de vista bayesiano

Renato S Silva, F. Nascimento, 2019 .

Framework for enhancing the estimation of model parameters for data with a high level of uncertainty

Renato S Silva, L. dos Anjos, R. Almeida, 2022, Nonlinear dynamics.

Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting

Renato S Silva, F. Fontinele, S. Malta, 2022, Nonlinear Dynamics.

Extreme Value Theory Applied to r Largest Order Statistics Under the Bayesian Approach

Renato S Silva, F. Nascimento, 2019, Revista Colombiana de Estadística.

Dynamic linear seasonal models applied to extreme temperature data: a Bayesian approach using the r-larger order statistics distribution

Marcelo Bourguignon, Fernando Ferraz do Nascimento, Renato Santos da Silva, 2021, Journal of Statistical Computation and Simulation.

Framework for enhancing the estimation of model parameters for data with a high level of uncertainty

Gustavo B Libotte, Lucas Anjos, Regina Almeida, 2021, Nonlinear Dynamics.

Simulations of Social Distancing Scenarios and Analysis of Strategies to Predict the Spread of COVID-19

Renato S Silva, G. Platt, F. Lobato, 2021, STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health.