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2nd LARS-IASC School

LARS-IASC School

26-27 May, 2019

To increase the development of human capital in computational statistics and support its progress, the Latin American Regional Section of the International Association of Statistical Computing (LARS-IASC) aims to implement a School on Computational Statistics and Data Science (LARS-IASC School). The main purpose of the School is to spread the knowledge base and advances in Computational Statistics in the Latin American countries and to increase the number of researchers and data scientists in the field.

The 2nd LARS-IASC School on Computational Statistics and Data Science will be a satellite event of ICORS-LACSC 2019. For its second edition, the LARS-IASC School will be on Robust Statistics. The main purpose is to provide an overview of the fundamental elements and recent advances in Robust Statistics. It is oriented to postgraduate students, researchers and practitioners in statistics. A solid knowledge on Statistical inference, Linear models, Multivariate Statistics and R programming is required from the participants. The program is organized around three axes: knowledge base and advances, software and data science applications.

The number of meeting hours are 12 hours. An official certificate will be given to participants at the end of the school. The number of participants is limited to 30 people on a first come first served basis.

Topics:

  • Introduction to robust statistics: concepts of influence function and breakdown value, univariate robust estimators (including explicit robust estimators of location, scale and skewness, as well as M-estimators of location and scale).
  • Robust multivariate methods: Robust estimators of multivariate location and scatter (M-estimators, Stahel-Donoho, Minimum Covariance Determinant, S-estimators, MM-estimators)
  • Robust regression: Robust linear regression (M-estimators, Least Trimmed Squares, S-estimators, MM-estimators, regression with categorical predictors)
  • Robust PCA:  principles, projection pursuit, spherical PCA, ROBPCA.
  • Advanced topics and recent developments: inference (fast and robust bootstrap), multivariate and functional depth, high-dimensional data and sparsity, cellwise outliers.
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Committee

International Organising Committee
  • Holger Cevallos-Valdiviezo (Ecuador)
  • Alba Martinez Ruiz (Chile)
  • David F. Muñoz (Mexico)
  • Paulo Canas Rodrigues (Brazil)
program

Program

Sunday, May 26 Monday, May 27
School
9:00 am
12:00 pm
School
9:00 am
12:00 pm
Lunch Break
12:00 pm
2:30 pm
Lunch Break
12:00 pm
2:30 pm
School
2:30 pm
5:30 pm
School
2:30 pm
5:30 pm

Sunday, May 26

  • School
    9:00 am - 12:00 pm
  • Lunch Break
    12:00 pm - 2:30 pm
  • School
    2:30 pm - 5:30 pm

Monday, May 27

  • School
    9:00 am - 12:00 pm
  • Lunch Break
    12:00 pm - 2:30 pm
  • School
    2:30 pm - 5:30 pm
No events available!
Venue

ESPOL Polytechnic University

City

Guayaquil - Ecuador

Registration

Registrations for 2nd LARS SCHOOL are closed.

* Please consider that the number of registrations for 2nd LARS-IASC School will be limited to 30 people on a first come first served basis.

Important Dates

• Registrations open: 25 February 2019
• IASC Scholarships application deadline: 22 March 2019
• Notification of selected applicants for IASC Scholarships: 12 April 2019
• Early registration deadline: 17 April 2019
• Standard registration deadline: 21 May 2019
• LARS-IASC School: 26-27 May 2019

If you need more information, please