activity
20072024
most citedAmazon Forest Fires Between 2001 and 2006 and Birth Weight in Porto Velho

25 citations · 44 across the 19 of their papers we have counts for

collaborators

19 papers

math.DS2024

Parametrized Families of Gibbs Measures and their Statistical Inference

Manfred Denker, Marc Keßeböhmer, Artur O. Lopes +1

For Hölder continuous functions , , on a subshift of finite type and we consider a parametrized family of potentials $\{F_θ= f_0+\sum_{i…

math.ST2021

Dynamical hypothesis tests and Decision Theory for Gibbs distributions

M. Denker, A. O. Lopes, S. R. C. Lopes

We consider the problem of testing for two Gibbs probabilities and defined for a dynamical system . Due to the fact that in general full orbits are not observabl…

math.ST2021★ 1 cited

A Generalization of the Ornstein-Uhlenbeck Process: Theoretical Results, Simulations and Parameter Estimation

J. Stein, S. R. C. Lopes, A. V. Medino

In this work, we study the class of stochastic process that generalizes the Ornstein-Uhlenbeck processes, hereafter called by \emph{Generalized Ornstein-Uhlenbeck Type Process} and…

math.PR2021★ 1 cited

Pentadiagonal Matrices and an Application to the Centered MA(1) Stationary Gaussian Process

Maicon J. Karling, Artur O. Lopes, Silvia R. C. Lopes

In this work, we study the properties of a pentadiagonal symmetric matrix with perturbed corners. More specifically, we present explicit expressions for characterizing when this ma…

math.PR2021★ 1 cited

Explicit Bivariate Rate Functions for Large Deviations in AR(1) and MA(1) Processes with Gaussian Innovations

M. J. Karling, A. O. Lopes, S. R. C. Lopes

We investigate large deviations properties for centered stationary AR(1) and MA(1) processes with independent Gaussian innovations, by giving the explicit bivariate rate functions…

math.ST2021

Decision Theory and Large Deviations for Dynamical Hypotheses Tests: Neyman-Pearson, Min-Max and Bayesian Tests

Hermes H. Ferreira, Artur O. Lopes, Silvia R. C. Lopes

We analyze hypotheses tests using classical results on large deviations to compare two models, each one described by a different Hölder Gibbs probability measure. One main differen…