LACSC 2021

LACSC 2021 will consider the presentation of papers that allow us to know the scientific and technological progress in all the areas related to the theory and applications of Statistical Computing, for the benefit of the Latin American community, becoming the most appropriate space for the academic and professional community of Latin América to exchange ideas, establish professional and academic contacts, and discuss development and research in the areas related to statistical computing. The presentation of papers as part of contributing, invited and poster (panels) sessions is thus considered.

Selected peer-reviewed papers will be considered for publication in a special issue of Computational Statistics, and authors are also encouraged to submit their papers to Computational Statistics & Data Analysis, the official journal of IASC.

The conference will be held virtually by the Whova platforms. Instructions will be provided further.

TOPICS

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).

KEYNOTE SPEAKERS

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

SCIENTIFIC COMMITTEE

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)

IMPORTANT DEADLINES

DeadlineActivity
February 10, 2021 Abstract (invited and contributed) and Poster proposals reception.
February 26, 2021 Communication of evaluation result to authors .
March 15, 2021 Receipt of final accepted papers with registration payment.
March 26, 2021 Book of Abstracts and book of Proceedings .
April 9, 2021 Submission of Preliminary Program to all authors.
April 16, 2021  Final Program LACSC 2021.

SUBMITTION AND REGISTRATION