Wyara Moura

Overview

Currently: Doctorate student in Statistics from the Graduate Program in Statistics at UFMG.

Education

Doctoral Student in Statistics (2023-Current)
Federal University of Minas Gerais (UFMG)

Master degree in Applied Mathematics and Statistics (2015-2017)
Federal University of Rio Grande do Norte (UFRN)

Bachelor degree in Statistics (2010-2015)
Federal University of Piauí (UFPI)

Published papers

Moura E Silva, Wyara Vanesa; Ramírez Orozco, Daniel Leonardo (2022). Evaluación de rendimiento de los estimadores para los parámetros de la Distribución Burr XII. Comunicaciones En Estadística, v. 15, p. 1-14.

Silva, Wyara Vanesa Moura E; Nascimento, Fernando Ferraz Do; Bourguingnon, Marcelo (2020). A change-point model for the r-largest order statistics with applications to environmental and financial data, Applied Mathematical Modelling, Volume 82, Pages 666-679, ISSN 0307-904X.

E Silva, Wyara Vanesa Moura; Do Nascimento, Fernando Ferraz (2019) MCMC4Extremes: an R package for Bayesian inference for extremes and its extensions, Communications in Statistics - Simulation and Computation, 51:2, 432-442.

Ferraz Do Nascimento, Fernando; Moura E Silva, Wyara Vanesa (2017) A Bayesian model for multiple change point to extremes, with application to environmental and financial data, Journal of Applied Statistics, 44:13, 2410-2426.