activity
20072025
most citedImproved estimators for a general class of beta regression models

308 citations · 408 across the 26 of their papers we have counts for

collaborators

31 papers

math.AP2025

Spectral Theory of Krein-Feller Type Operators and Applications in Stochastic Fractional Elliptic and Parabolic Equations

Kelvin J. R. Almeida-Sousa, Alexandre B. Simas

It has been shown that the space , introduced in Simas and Sousa (Potential Analysis, 2025), is the natural regularity space for solutions of the eige…

math.AP2025

One-sided measure theoretic elliptic operators and applications to SDEs driven by Gaussian white noise with atomic intensity

Alexandre B. Simas, Kelvin J. R. Sousa

We define the operator on the one-dimensional torus . Here, and are functions inducing (possibly atomic) positive Borel measures on $\math…

math.PR2023

Hydrodynamic limit of the multi-component slow boundary WASEP with collisions

Oslenne Araújo, Patrícia Gonçalves, Alexandre B. Simas

In this article, we study the hydrodynamic limit for a stochastic interacting particle system whose dynamics consists in a superposition of several dynamics: the exclusion rule, th…

math.PR2023

Markov properties of Gaussian random fields on compact metric graphs

David Bolin, Alexandre B. Simas, Jonas Wallin

There has recently been much interest in Gaussian fields on linear networks and, more generally, on compact metric graphs. One proposed strategy for defining such fields on a metri…

math.NA2023★ 2 cited

Regularity and numerical approximation of fractional elliptic differential equations on compact metric graphs

David Bolin, Mihály Kovács, Vivek Kumar +1

The fractional differential equation posed on a compact metric graph is considered, where and is a second-order elliptic operator equip…

stat.ME2022★ 15 cited

Covariance-based rational approximations of fractional SPDEs for computationally efficient Bayesian inference

David Bolin, Alexandre B. Simas, Zhen Xiong

The stochastic partial differential equation (SPDE) approach is widely used for modeling large spatial datasets. It is based on representing a Gaussian random field on $\mathbb…