Publications

My publications in reversed chronological order.

2026

  1. Modelling correlated proportion data: Bayesian and classical approaches to inference and diagnostics
    Lucas Machado Moschen, and Luiz Max Carvalho
    TEST, 2026
    The linked manuscript is the accepted version. An earlier version appeared on arXiv as Bivariate beta distribution: parameter inference and diagnostics
  2. Feedback Control and Local Convexification of Wasserstein Gradient Flows
    Dante Kalise, Lucas M. Moschen, and Grigorios A. Pavliotis
    arXiv, 2026
  3. Control Strategies for Multi-Species Wasserstein Gradient Flows
    Dante Kalise, Lucas M. Moschen, and Grigorios A. Pavliotis
    arXiv, 2026

2025

  1. Bang-Bang Optimal Control of Vaccination in Metapopulation Epidemics With Linear Cost Structures
    Lucas M. Moschen, and M Soledad Aronna
    IEEE Control Systems Letters, 2025
  2. A Spectral Approach to Optimal Control of the Fokker-Planck Equation
    Dante Kalise, Lucas M. Moschen, Grigorios A. Pavliotis, and Urbain Vaes
    IEEE Control Systems Letters, 2025
  3. Linearization-Based Feedback Stabilization of McKean-Vlasov PDEs
    Dante Kalise, Lucas M. Moschen, and Grigorios A. Pavliotis
    arXiv, 2025
    Accepted for publication in SIAM Journal on Control and Optimization (SICON).

2024

  1. Optimal vaccination strategies on networks and in metropolitan areas
    M Soledad Aronna, and Lucas Machado Moschen
    Infectious Disease Modelling, 2024

2023

  1. Master’s dissertation: Optimal Vaccination Strategies for Epidemics in Metropolitan Areas
    Lucas Machado Moschen, and Maria Soledad Aronna
    2023

2022

  1. Estimate of the rate of unreported COVID-19 cases during the first outbreak in Rio de Janeiro
    Maria Soledad AronnaRoberto Guglielmi, and Lucas Machado Moschen
    Infectious Disease Modelling, 2022

2021

  1. A model for COVID-19 with isolation, quarantine and testing as control measures
    M Soledad AronnaRoberto Guglielmi, and Lucas Machado Moschen
    Epidemics, 2021
  2. Bachelor’s dissertation: Prevalence estimation and binary regression methods for respondent-driven sampling with outcome uncertainty
    Lucas Machado Moschen, and Luiz Max Carvalho
    2021