Man

Francisco Andres Cuevas Pacheco

Líneas de Investigación


I work in spatial statistics. Specifically, in point processes and random fields. Nowadays, I am using tools from functional data analysis to study massive amount of georeferenced data.

Educación

  •  Spatial Statistics, AALBORG UNIVERSITY. Dinamarca, 2019
  •  Statistics, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2013
  •  Ingeniero civil matemático, UNIVERSITE DU QUEBEC A MONTREAL. Chile, 2011

Experiencia Académica

  •   Postdoc Part Time

    UNIVERSITE DU QUEBEC A MONTREAL

    Montreal, Canada

    2019 - 2020

  •   Lecturer Part Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaíso, Chile

    2011 - 2012

  •   Part time Part Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaíso, Chile

    2017 - 2017

  •   Teaching assistant Other

    AALBORG UNIVERSITY

    AALBORG, Dinamarca

    2016 - 2016

Experiencia Profesional

  •   Analista de riesgo Full Time

    Banco de Crédito e Inversiones

    Santiago, Chile

    2013 - 2016

Premios y Distinciones

  •   Postdoctoral fellowship

    UNIVERSITE DU QUEBEC A MONTREAL

    Canada, 2019

    Highly competitive grant (two Postdoctoral fellowships) per year to work under the supervision of Jean-François Coeurjolly, consisting of 3750 USD per month

  •   Ph.D Grant

    AALBORG UNIVERSITY

    Dinamarca, 2016

    Grant supported by Aalborg University and the CSGB. Highly competitive grant (3 PhD grants a year for the department of Mathematical Sciences) consisting of 2600 USD per month.

  •   Master Fellowship

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Chile, 2011

    Moderately competitive grant for Master students with average mark over 75 (in average, 50% of the students).


 

Article (8)

Fast and exact simulation of Gaussian random fields defined on the sphere cross time
Karhunen–Loève expansions for axially symmetric Gaussian processes: modeling strategies and $$L^2$$ approximations
Regularized estimation for highly multivariate log Gaussian Cox processes
Second-order variational equations for spatial point processes with a view to pair correlation function estimation
Structured Space-Sphere Point Processes and K-Functions
Log Gaussian Cox processes on the sphere
Contours and dimple for the Gneiting class of space-time correlation functions
Study of spatial relationships between two sets of variables=> A nonparametric approach
1
Moreno Bevilacqua

Profesor Asociado

Universidad Adolfo Ibánez

Viña del Mar, Chile