Mountain View   Mountain View  
Francisco Cuevas

Francisco Cuevas

Assistant Professor

Here you will find information about my research activity, teaching and some personal information.

Image 1

Sorrounded by a lot of smart guys!

Image 2

The best risk team in Chile (Find the ninja turtle!)

Image 3

The most scariest halloween costume

Image 4

har du forstår denne sætning? do boede her!

Image 5

Ready to kill some bad guys!

Image 6

What is Chilean, tasty and you can get drunk quickly?

Briefly about me

    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.


  • PhD in Mathematics and Physics - Ålborg Universitet

    Thesis: 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

    Thesis: About model selection
    Advisor: Ronny Vallejos.
    Co-Advisor: Felipe Osorio.

  • Mathematical engineer - UTFSM

    Thesis: Non parametrical estimation of the codispersion coeficient.
    Advisor: Ronny Vallejos.

Work Experience

  • Assistant professor - UTFSM

    Semester courses Mathematics II and IV (Calculus, differential equations, and multivariate calculus) for first and second year engineering students.

  • Postdoctoral fellowship - UTFSM
    2021 - 2024

    Supported by ANID's grant. Sponsored by Advisor: Ronny Vallejos.

  • Postdoc researcher - AC3E - UTFSM

    Advisor: Ronny Vallejos.

  • Postdoc - Université du Québec à Montréal

    Advisor: Jean-François Coeurjolly.
    Co-Advisor: Marie-Hélène Descary.

  • BCI - Data scientist

    Working as Data Scientist in a multidisciplinary team. Duties include Mathematical Modelling, Data Analytics, Programming, Statistics, Macroeonomics Research and Data Scienes applied to Credit Risk.

  • UTFSM - Lecturer

    Semester courses Mathematics II and IV (Calculus, differential equations, and multivariate calculus) for first and second year engineering students.

  • Areva T&D - Intern

    Stochastic model for loadbreaker switch to predict failures.

  • Teacher Assistant

    Teacher assistant on many courses of calculus and statistics. Which highlights : Probability and statistics for engineers, regression analysis, multivariated statistics, time series, statistical inference.

Second Term 2022

Probility and Statistics (MAT 041) slides

Modeling Laboratory (MAT 282) slides

Second Term 2021

Probility and Statistics (MAT 041)

First Term 2021

Calculus I

First Term 2017

Time Series I

Graduated students

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

I. Ba, F. Cuevas-Pacheco, J.-F. Coeurjolly (2023). Pairwise interaction function estimation of Gibbs point processes using basis expansion
Annals of Statistics, 51, 3, 1134-1158. Link

F. Cuevas-Pacheco, J.-F. Coeurjolly, MH. Descary (2022). Fast estimation of a convolution type model for the intensity of spatial point processes
Spatial Statistics, 43, Article number 100651. Available at arXiv:2012.09659 Link

Alegría, A., Cuevas, F., Porcu, E., Diggle, P. (2021). The $\mathcal{F}$-family of covariance functions: a Matérn analogue for modeling random fields on spheres
Spatial Statistics, 43, Article number 100512. Available at arXiv:2101.05394 Link

A. Alegría, F. Cuevas-Pacheco (2020). Modeling and Approximation of Axially Symmetric Gaussian Processes on Spheres Through Karhunen-Loéve Expansions.
Stochastic Environmental Research and Risk Assessment, 34, 1953 – 1965. Available at arXiv:2007.01961 Link

A. Choiruddin, J.-F. Coeurjolly, F. Cuevas-Pacheco and R. Waagepetersen (2020). Regularized estimation for highly multivariate log Gaussian Cox processes.
Statistics and Computing. appeared online. Available at arXiv:1905.01455 Link

Coeurjolly, J.F., Cuevas, F. and Waagepetersen, R. (2019). Second-order variational equations for spatial point processes with a view to pair correlation function estimation.
Spatial Statistics, 30, 103-115. Available at arXiv:1901.04744 Link

J. Møller, H.S. Christensen, F. Cuevas-Pacheco and A.D. Christoffersen. (2018) Structured space-sphere point processes and K-functions.
Methodology and Computing in Applied Probability, 23, 569–591. Available at arXiv:1812.08986 Link

Cuevas, F., Porcu, E., Allard, D. (2018). Fast and exact simulation of Gaussian random fields defined on the sphere cross time.
Statistics and Computing, appeared online. Available at arXiv:1807.04145 Link

Cuevas, F., Møller, J. (2018). Log Gaussian Cox processes on the sphere.
Spatial Statistics, 26, 69-82. Available at arXiv: 1803.03051. Link

Cuevas, F., Porcu, E., Bevilacqua, M. (2016). Contours and Dimples for the Gneiting class of Space-Time Covariance Functions.
Biometrika 104, 995-1001. DOI: 10.1093/biomet/asx048. Link

Osorio, F., Vallejos, R., Cuevas, F. SpatialPack: Computing the Association Between Two Spatial Processes.
Available at arXiv:1611.05289. Link

Cuevas, F., Porcu, E., Vallejos, R. (2013). Study of spatial relationships between two sets of variables: A nonparametric approach.
Journal of Nonparametric Statistics 25, 695-714. Link

Do you want to visit me?

Avenida españa 1680
Valparaíso (Valparaíso) 2390123
Departamento de matemáticas

Maybe we can work together!

Phone: +569 _ _ _ _ _ _ _ _
Skype: fcuevas_87


Je ne parle pas Francais! Jeg taler ikke dansk!

Template created by mRova. Did you like this template?, just click here to download it for free :).

Flag Counter