activity
20192024
most citedStateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024

Assessing the Optimistic Bias in the Natural Inflow Forecasts: A Call for Model Monitoring in Brazil

Arthur Brigatto, Alexandre Street, Cristiano Fernandes +3

Hydroelectricity accounted for roughly 61.4% of Brazil's total generation in 2024 and addressed most of the intermittency of wind and solar generation. Thus, inflow forecasting pla…

math.OC2023

Comparing BilevelJuMP.jl Formulations: Support Vector Regression Hyperparameter Tuning

Joaquim Dias Garcia, Guilherme Bodin, Alexandre Street

In this technical report, we compare multiple reformulation techniques and solvers that can be used with the Julia package BilevelJuMP. We focus on the special case of Hyperparamet…

math.OC2022★ 6 cited

BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia

Joaquim Dias Garcia, Guilherme Bodin, Alexandre Street

In this paper we present BilevelJuMP, a new Julia package to support bilevel optimization within the JuMP framework. The package is a Julia library that enables the user to describ…

stat.CO2020★ 1 cited

ScoreDrivenModels.jl: a Julia Package for Generalized Autoregressive Score Models

Guilherme Bodin, Raphael Saavedra, Cristiano Fernandes +1

Score-driven models, also known as generalized autoregressive score models, represent a class of observation-driven time series models. They possess powerful properties, such as th…

stat.CO2019★ 7 cited

StateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework

Raphael Saavedra, Guilherme Bodin, Mario Souto

StateSpaceModels.jl is an open-source Julia package for modeling, forecasting and simulating time series in a state-space framework. The package represents a straightforward tool t…