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The Third IASC-LARS School on Computational Statistics and Data Science will be held fully online from 17-18 April 2021.

The Third LARS-IASC School on Computational Statistics and Data Science

The Third LARS-IASC School on Computational Statistics and Data Science will be held fully online via Whova from 17-18 April 2021. This is a satellite event of the 5th Latin American Conference on Statistical Computing, LACSC 2021, jointly organized by the Instituto Autónomo de México (ITAM), the Latin American Regional Section of the International Association for Statistical Computing (LARS-IASC) and the International Statistical Institute (ISI). The deadline for registration is 10 February 2021. This year the school theme is Stochastic Simulation and Reinforcement Learning and the instructors are:

  • Enrique Sucar
    Enrique Sucar, Instituto Nacional de Astrofísica, Óptica y Electrónica, México: "Probabilistic Graphical Models: Principles and Applications"
  • David Muñoz-Negrón
    David Muñoz-Negrón, Instituto Tecnológico de México (ITAM): "Stochastic Simulation: Output Analysis and Applications"
  • Eduardo F. Morales
    Eduardo F. Morales, Inst. Nacional de Astrofísica, Óptica y Electrónica, México: "Reinforcement Learning"

For IASC-LARS students, the IASC will provide (a) 10 (or more) scholarships – 100% waiver in registration fee for people living in developing countries, (b) 5 (or more) scholarship – 50% waiver in registration fee for people living in developing countries. Please find the list of low income countries here and the list of lower middle income countries here. To apply for these scholarships, the candidates must:

  • Be a member of the International Association for Statistical Computing (IASC). More information on how to become a member can be found here.
  • At the time of the application and of the events be living and working/studying in a developing country.