Francisco Cuevas
PhD in Mathematics and Physics
Francisco Cuevas
Assistant Professor
Here you will find information about my research activity, teaching and some personal information.
Briefly about me
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I'm Francisco Cuevas, a young chilean person (1987) living in Valparaíso, Chile. I like work on statistics and develop different tools for data analyisis. My cuerrent research topics are: spatio and spatio-temporal point process and random fields, simulation methods, and computational statistics. I love the music, play guitar, learn lenguages and do some sports.
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PhD in Mathematics and Physics - Ålborg Universitet
2016-2019Thesis: Second order moment properties of point processes and random fieldsdefined on a Euclidean space, a sphere, or the product of such spaces
Advisor: Jesper Møller.
Co-Advisor: Rasmus Waagepetersen. -
MSc. in mathematics - UTFSM
2011-2013Thesis: About model selection
Advisor: Ronny Vallejos.
Co-Advisor: Felipe Osorio. -
Mathematical engineer - UTFSM
2005-2011Thesis: Non parametrical estimation of the codispersion coeficient.
Advisor: Ronny Vallejos.
Education
Work Experience
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Assistant professor - UTFSM
2022-TodaySemester courses Mathematics II and IV (Calculus, differential equations, and multivariate calculus) for first and second year engineering students.
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Postdoctoral fellowship - UTFSM
2021 - 2024Supported by ANID's grant. Sponsored by Advisor: Ronny Vallejos.
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Postdoc researcher - AC3E - UTFSM
2020-2021Advisor: Ronny Vallejos.
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Postdoc - Université du Québec à Montréal
2019-2020Advisor: Jean-François Coeurjolly.
Co-Advisor: Marie-Hélène Descary. -
BCI - Data scientist
2013-2016Working as Data Scientist in a multidisciplinary team. Duties include Mathematical Modelling, Data Analytics, Programming, Statistics, Macroeonomics Research and Data Scienes applied to Credit Risk.
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UTFSM - Lecturer
2011-2012Semester courses Mathematics II and IV (Calculus, differential equations, and multivariate calculus) for first and second year engineering students.
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Areva T&D - Intern
2009-2010Stochastic model for loadbreaker switch to predict failures.
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Teacher Assistant
2006-2012Teacher assistant on many courses of calculus and statistics. Which highlights : Probability and statistics for engineers, regression analysis, multivariated statistics, time series, statistical inference.
First Term 2025
Spatio-temporal Statistics (MAT 467) notes
Second Term 2024
Time Series (MAT267) slides
First Term 2024
Spatio-temporal Statistics (MAT 467) notes
Statistical Theory (MAT 567)
Second Term 2023
Probility and Statistics (MAT 041) slides
Stochastic Simulation (MAT 468) notes
First Term 2023
Stochastic Simulation (MAT 468) notes
Second Term 2022
Probility and Statistics (MAT 041) slides
Modeling Laboratory (MAT 282) slides
Second Term 2021
Probility and Statistics (MAT 041) slides
First Term 2021
Calculus I
First Term 2017
Time Series I
Graduated students
Student: Sofía Madrid Mellado
Thesis: Aplicación del análisis topológico de datos a patrones puntuales
Ending date: Jan 2025
Student: Gabriel Riffo Jara
Thesis: Estimación penalizada para campos aleatorios Gaussianos multivariados
Ending date: Sept 2024
Student: Omar Herrera Petruzzi
Thesis: Métodos Bayesianos computacionales con aplicación asubestaciones eléctricas
Ending date: Dec 2022
Student: Felipe Velasquez Guerino
Thesis: Distribución Hiperbólica Generalizada Afín para Modelos de Riesgo Financiero
Ending date: Mar 2023
Student: Bastian Alvarado Pontier
Thesis: Modelos Lineales Generalizados Aplicados a la Confiabilidad de Sistemas
Ending date: Mar 2023
List of papers
Bevilacqua, M., Emery, X., Cuevas-Pacheco, F. (2025). Fast simulation of Gaussian random fields with flexible correlation models in Euclidean spaces. arXiv preprint. arXiv:2512.18884
Diago-Mosquera, M.E., Cuevas-Pacheco, F., Azpilicueta, L. (2025). Universal Kriging for Accurate Shadow Fading Modeling in LOS/NLOS Conditions. IEEE Open Journal of Antennas and Propagation, 6(5), 1482-1489. Link
Jalilian, A., Cuevas-Pacheco, F., Xu, G., Waagepetersen, R. (2025). Composite likelihood inference for space-time point processes. Biometrics, 81(1). arXiv:2402.12548
Ba, I., Cuevas-Pacheco, F., Coeurjolly, J.-F. (2023). Pairwise interaction function estimation of Gibbs point processes using basis expansion. Annals of Statistics, 51(3), 1134-1158. DOI
Cuevas-Pacheco, F., Coeurjolly, J.-F., Descary, M.H. (2022). Fast estimation of a convolution type model for the intensity of spatial point processes. Spatial Statistics, 43, Article 100651. arXiv:2012.09659
Alegría, A., Cuevas, F., Porcu, E., Diggle, P. (2021). The F-family of covariance functions: a Matérn analogue for modeling random fields on spheres. Spatial Statistics, 43, Article 100512. arXiv:2101.05394
Alegría, A., Cuevas-Pacheco, F. (2020). Modeling and Approximation of Axially Symmetric Gaussian Processes on Spheres Through Karhunen-Loève Expansions. Stochastic Environmental Research and Risk Assessment, 34, 1953-1965. arXiv:2007.01961
Choiruddin, A., Coeurjolly, J.-F., Cuevas-Pacheco, F., Waagepetersen, R. (2020). Regularized estimation for highly multivariate log Gaussian Cox processes. Statistics and Computing, 30, 649-662. arXiv:1905.01455
Coeurjolly, J.-F., Cuevas, F., Waagepetersen, R. (2019). Second-order variational equations for spatial point processes with a view to pair correlation function estimation. Spatial Statistics, 30, 103-115. arXiv:1901.04744
Møller, J., Christensen, H.S., Cuevas-Pacheco, F., Christoffersen, A.D. (2018). Structured space-sphere point processes and K-functions. Methodology and Computing in Applied Probability, 23, 569-591. arXiv:1812.08986
Cuevas, F., Porcu, E., Allard, D. (2018). Fast and exact simulation of Gaussian random fields defined on the sphere cross time. Statistics and Computing, 28, 1123-1133. arXiv:1807.04145
Cuevas, F., Møller, J. (2018). Log Gaussian Cox processes on the sphere. Spatial Statistics, 26, 69-82. arXiv:1803.03051
Cuevas, F., Porcu, E., Bevilacqua, M. (2017). Contours and Dimples for the Gneiting class of Space-Time Covariance Functions. Biometrika, 104(4), 995-1001. DOI
Osorio, F., Vallejos, R., Cuevas, F. (2016). SpatialPack: Computing the Association Between Two Spatial Processes. arXiv preprint. arXiv:1611.05289
Cuevas, F., Porcu, E., Vallejos, R. (2013). Study of spatial relationships between two sets of variables: A nonparametric approach. Journal of Nonparametric Statistics, 25(3), 695-714. Link