Schools & Webinars

IASC-ERS Report on Webinar Course  “Functional Data Analysis for Density Functions in Bayes Spaces” April 29-30, 2021   (From left to right) Alessandra Menafoglio, Sara Taskinen, Karel Hron, Juergen Symanzik, Cristian Gatu, Jitka Machalová and Luis...

Stochastic Simulation and Reinforcement Learning, April 17-18, 2021. The objectives of this course are to introduce graphical models: Bayesian classifiers, Bayesian networks and graphical causal models, including inference and learning techniques, to gain some...

Geostatistical Functional Data Analysis, February 23-25, 2021. This course is concerned with functional kriging, functional cokriging and optimal sampling designs for spatial prediction of functional data. Real applications to meteorology, air quality, water quality...

IASC-LARS Webinar on Computational Statistics and Data Science, Statistical Inference in Markov Process, November 23-26, 2020. The purpose of the course is to introduce the notions and methods of statistical inference in Markov processes on finite alphabets with...

Robust Statistics, May 26-27, 2019. The program included the following topics: introduction to robust statistics, robust multivariate methods, robust regression, robust PCA, advanced topics on robust statistics and recent developments.   DOWNLOAD: 2019 IASC-LARS...

Statistics of Extremes, November 15-17, 2018. This school offered an overview on modern statistical methods for extreme values, and on how these methods can be used to learn about risk from data. The goal was on offering preparations for modeling the probability of...

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...