Publications

Maria L. Daza-Torres, J Cricelio Montesinos-López, Veronica Suaste (2026). Bayesian adaptive framework for wind power forecasting. Nordic Machine Intelligence.

DOI

Maria L. Daza-Torres, J Cricelio Montesinos-López, Rachel Olson, C. Winston Bess, Colleen C. Naughton, Heather N. Bischel, Miriam Nuño (2026). Assessing Methodological Variability in Wastewater Surveillance: A Wavelet Decomposition Approach. Epidemics.

DOI

José Cricelio Montesinos-López, Maria L. Daza-Torres, Abelardo Montesinos-López, Junlin Chen, Heather N. Bischel, Miriam Nuño (2025). Wastewater-Based Estimation of COVID-19 Transmission in California: A Hierarchical Beta-Binomial Model for Estimating the Effective Reproduction Number. Environments.

DOI URL

Yury E Garcia Puerta, Miryam E Villa-Perez, Kuang Li, Xiao Hui Tai, Luis a Trejo, Maria L Daza-Torres, JC Montesinos-Lopez, Miriam Nuno (2024). Wildfires and Social Media Discourse: Exploring Mental Health and Emotional Well-Being Through Twitter. Frontiers in Public Health.

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Maria L. Daza-Torres, J. Cricelio Montesinos-López, César Herrera, Yury E. García, Colleen C. Naughton, Heather N. Bischel, Miriam Nuño (2024). Optimizing spatial distribution of wastewater-based epidemiology to advance health equity. Epidemics.

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Yury E García, Alec J Schmidt, Leslie Solis, Maria L Daza-Torres, J Cricelio Montesinos-López, Brad H Pollock, Miriam Nuño (2024). Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis. JMIR Public Health and Surveillance.

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Maria L Daza-Torres, J Cricelio Montesinos-López, Heather N Bischel, Colleen C Naughton, Angel N Desai, Marlene K Wolfe, Alexandria B Boehm, Miriam Nuño (2024). A mixed-effects model to predict COVID-19 hospitalizations using wastewater surveillance. Journal of Environmental Chemical Engineering.

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J Cricelio Montesinos-López, Maria L Daza-Torres, Yury E Garcı́a, Miriam Nuño (2023). Mathematical Modeling and Wastewater-Based Epidemiology: Public Health Applications. Handbook of Visual, Experimental and Computational Mathematics: Bridges through Data.

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Krystin F Kadonsky, Colleen C Naughton, Mirjana Susa, Rachel Olson, Guadalupe L Singh, Maria L Daza-Torres, J Cricelio Montesinos-López, Yury Elena Garcia, Maftuna Gafurova, Adam Gushgari, Others (2023). Expansion of wastewater-based disease surveillance to improve health equity in California’s Central Valley: sequential shifts in case to wastewater and hospitalization to wastewater ratios. Frontiers in Public Health.

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Fernando Saldaña, Maria L Daza-Torres, Maı́ra Aguiar (2023). Data-driven estimation of the instantaneous reproduction number and growth rates for the 2022 monkeypox outbreak in Europe. Plos one.

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Y. E. García, S. W. Chou-Chen, L. A. Barboza, M. L. Daza-Torres, J. C. Montesinos-López, P. Vásquez, Et Al. (2023). Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach. PLOS Glob Public Health.

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Alessandro Bravetti, Maria L Daza-Torres, Hugo Flores-Arguedas, Michael Betancourt (2023). Bregman dynamics, contact transformations and convex optimization. Information Geometry.

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Maria L Daza-Torres, J Cricelio Montesinos-López, Yury E Garc\á, César Herrera, C Winston Bess, Heather N Bischel, Miriam Nuño (2023). Bayesian sequential approach to monitor COVID-19 variants through positivity rate from wastewater. Msystems.

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Maria L Daza-Torres, Yury E Garcı́a, Alec J Schmidt, Brad H Pollock, James Sharpnack, Miriam Nuño (2022). The impact of COVID-19 vaccination on California’s return to normalcy. PloS one.

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Maria L. Daza-Torres, J Cricelio Montesinos-López, Minji Kim, Rachel Olson, C Winston Bess, Lezlie Rueda, Mirjana Susa, Linnea Tucker, Yury E Garcı́a, Alec J Schmidt, Naughton Colleen C., Brad H. Pollock, Karen Shapiro, Miriam Nuno, Heather N. Bischel (2022). Model training periods impact estimation of COVID-19 incidence from wastewater viral loads. Science of The Total Environment.

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Marcos A. Capistrán, J.A. Christen, Maria L Daza-Torres, H. Flores-Arguedas, J Cricelio Montesinos-López (2022). Error Control of the Numerical Posterior with Bayes Factors in Bayesian Uncertainty Quantification. Bayesian Analysis.

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Osval Antonio Montesinos-López, Henry Nicole Gonzalez, Abelardo Montesinos-López, Maria L \Bf Daza-Torres, Morten Lillemo, José Cricelio Montesinos-López, José Crossa (2022). Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding. The Plant Genome.

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Maria L Daza-Torres, Marcos a Capistrán, Antonio Capella, J Andrés Christen (2022). Bayesian sequential data assimilation for COVID-19 forecasting. Epidemics.

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J Cricelio Montesinos-López, Maria L Daza-Torres, Yury E García, Luis a Barboza, Fabio Sanchez, Schmidt Alec J, Brad H Pollock, Miriam Nuno (2021). The Role of SARS-CoV-2 Testing on Hospitalizations in California. Life.

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Josué Gilberto Rivas Iñiguez, Maria L Daza-Torres, Abel Palafox González, Anne Cros (2021). Natural frequency of a heavy flexible plate: power law evolution as a function of length. Latin American Journal of Solids and Structures.

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Maria L Daza-Torres, J Cricelio Montesinos-López, Marcos a Capistrán, J Andrés Christen, Heikki Haario (2021). Error control in the numerical posterior distribution in the Bayesian UQ analysis of a semilinear evolution PDE. International Journal for Uncertainty Quantification.

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Maria L Daza-Torres, Marcos a Capistrán, J Andrés Christen, Lilı́ Guadarrama (2017). Solution of the inverse scattering problem from inhomogeneous media using affine invariant sampling. Mathematical Methods in the Applied Sciences.

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