Research

Research Interests

  • Environmental Statistics.
  • Bayesian estimation of spatio-temporal models.
  • Bayesian estimation of Dynamical Systems. Applications to epidemiological models.
  • Computational Statistics.
  • Applications of Statistical Learning techniques to epidemiological and climate modeling.

Recent Publications

For a complete list of publications, please check my ORCID user or Google Scholar.

  1. Pasquier, C. and Barboza, L.A. (2026). Amortized Bayesian inference for spatio-temporal extremes: A copula factor model with autoregression. To appear in Spatial Statistics.

  2. Camacho, M., Cedeño, A., Barboza, L. A., Chou-Chen, S. W., Gómez, M. J., & Hidalgo, H. G. (2026). Hurricane Impact Index: Capturing direct and indirect cyclone effects in Central America. Earth Systems and Environment, 1–15. https://doi.org/10.1007/s41748-025-00999-z

  3. Gómez, M. J., Barboza, L. A., Hidalgo, H. G., & Alfaro, E. J. (2024). Comparison of indicators to evaluate the performance of climate models. International Journal of Climatology, 44(13), 4907–4924. https://doi.org/10.1002/joc.8619

  4. Chou-Chen, S. W., Barboza, L. A. (2024) Forecasting hospital discharges for respiratory conditions in Costa Rica using climate and pollution data. Mathematical Biosciences and Engineering, 21(7): 6539-6558. https://doi.org/10.3934/mbe.2024285

Preprints

  1. Barboza, L. A., Pasquier, C., Espinoza, B., & Sanchez, F. (2026). Bayesian calibration of adaptive-behavior SIR models for multi-wave COVID-19 incidence in New York City. http://arxiv.org/abs/2609.27283

  2. Cao, V., Chou-Chen, S. W., Barboza, L. A. (2025). Functional Data Analysis of Climate and Pollution Impacts on Respiratory Hospitalizations in Costa Rica.

  3. Monge-Rojas, R., Barboza, L.A., Gómez, G., Vargas-Quesada, R. (2025). Second-Day Recall Sample Size Matters: Implications for Usual Nutrient Intake Modeling.