LACSC 2020



Wendy L. Martínez
Bureau of Labor Statistics
Daniel Russo
Columbia University
Enrique Sucar
Inst. Nacional de Astrofísica,
Óptica y Electrónica
Renato Assunção
Universidade Federal de
Minas Gerais
Antonietta Mira
Università della Svizzera
italiana – Lugano


Alba Martínez-Ruiz (Universidad San Sebastián) + Alessandra Amendola (Universitá di Salerno) + Ana Silvia Haedo (Universidad
Tecnológica Nacional Paraná) + David F. Muñoz-Negrón (ITAM) + Emilio Porcu (Trinity College) + Eufrasio de Andrade Lima-Neto
(Universidade Federal da Paraíba) + Francisco Louzada Neto (Universidade de São Paulo) + Francisco Tenorio de Carvalho
(Universidade Federal de Pernambuco) + Holger Cevallos-Valdivieso (Escuela Superior Politécnica de Litoral) + Javier Trejos-Zelaya
(Universidad de Costa Rica) + Juan José Fernández-Durán (ITAM) + Jürgen Symansik (Utah State University) + Luis Firinguetti-Limone
(Universidad del Bío Bío) + Luis Montiel-Cendejas (ITAM) + Manuel Mendoza-Ramírez (ITAM) + Martha Patricia Bohórquez-
Castañeda (Universidad Nacional de Colombia) + Paulo Canas-Rodrigues (Universidade Federal da Bahia) + Peter Lukas Bühlmann
(Eidgenössische Technische Hochschule Zürich) + Rodrigo José Salas-Fuentes (Universidad de Valparaíso) + Verónica González-López
(Universidade Estadual de Campinas) + Wendy L. Martinez (Bureau of Labor Statistics) + Wing Kam Fung (University of Hong Kong)


Topics that are of special interest for LACSC 2021 include research related to the theory, methods, application, and use of software related to statistical computing. Among these (not excluding others), statistical computing techniques related to:

  • Big data analysis and data science
  • Multivariate analysis
  • Multidimensional data analysis
  • Machine learning and artificial intelligence
  • Parallel computing for computational statistics
  • Optimization and optimization heuristics
  • Simulation and Monte Carlo methods
  • Numerical methods of statistics
  • Clustering methods and classification
  • Kernel methods
  • Times series analysis
  • Robust statistics
  • Times series analysis
  • Robust statistics
  • Symbolic data analysis
  • Compositional data analysis
  • Censored data analysis
  • Statistical algorithms
  • Statistical software
  • Extreme value theory
  • Spatial statistics
  • Biostatistics
  • Data visualization
  • Nonparametric statistics
  • Sampling methods
  • Bayesian statistics
  • Functional data analysis
  • Deep learning
  • Mixture models
  • Categorical data analysis
  • Multi-block methods
  • Latent variable models
  • Text mining
  • Data structure and complex data
  • Integration of data from different sources
  • Statistical applications: environmental sciences, climate sciences, biomedical sciences, chemical sciences and chemometrics, econometrics and finance, engineering, astronomy and physics, agronomy and forestry sciences, energy, sustainable development, mining sciences, social web, TIC’s, security, biometry, internet of things, natural disaster modeling (earthquakes, tsunamis, foods, hurricanes, tornadoes, forest fires).


Deadline Activity
January 11, 2021 Abstract (invited and contributed) and Poster proposals reception
February 8, 2021 Communication of evaluation result to authors
March 8, 2021 Receipt of final accepted papers with registration payment
March 15, 2021 Book of Abstracts and book of Proceedings
March 21, 2021 Submission of Preliminary Program to all authors
April 5, 2021 Final Program LACSC 2021


LARS-IASC School (from April 17 to April 18, 2021)
• $150 USD developing countries
• $300 USD developed countries

Conference LACSC 2020 (from April 19 to April 21, 2020)

Deadline for early registration: March 15, 2021.

Early Registration Late Registration
IASC, ISI and other approved members $300 USD $400 USD
Other academic participants $350 USD $450 USD
Business and industry professionals $400 USD $500 USD
IASC and ISI student and retired members $150 USD $200 USD
Other student and retired participants $200 USD $250 USD