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Francisco Cuevas

Francisco Cuevas

PhD Student

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

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Sorrounded by a lot of smart guys!

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

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The most scariest halloween costume

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har du forstår denne sætning? do boede her!

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Ready to kill some bad guys!

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

Briefly about me

    I'm Francisco Cuevas, a young chilean student (1987) living in Canada. 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.


    Education

  • Postdoctoral fellowship - UTFSM
    2021-2023

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

  • Postdoc researcher - AC3E - UTFSM
    2020-2021

    Advisor: Ronny Vallejos.

  • Postdoc - Université du Québec à Montréal
    2019-2020

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

  • PhD in Spatial Statistics - Ålborg Universitet
    2016-2019

    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
    2011-2013

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

  • Mathematical engineer - UTFSM
    2005-2011

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

Work Experience

  • BCI - Data scientist
    2013-2016

    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
    2011-2012

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

  • Areva T&D - Intern
    2009-2010

    Stochastic model for loadbreaker switch to predict failures.

  • Teacher Assistant
    2006-2012

    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

List of papers

F. Cuevas-Pacheco, J.-F. Coeurjolly, I. Ba. Pairwise interaction function estimation of Gibbs point processes using basis expansion, Submitted for Journal Publication.

F Cuevas-Pacheco, JF Coeurjolly, MH Descary. Fast estimation of a convolution type model for the intensity of spatial point processes, to appear Spatial Statistics.

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.
To appear in Methodology and Computing in Applied Probability. 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 _ _ _ _ _ _ _ _
Email: francisco.cuevas.pacheco@gmail.com
Skype: fcuevas_87

Remark!

Je ne parle pas Francais! Jeg taler ikke dansk!

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