×A1. Computational statistics and data analysis

Analysis of large data sets and powerful computing resources have given an impetus to the rapid rise of computationally intensive statistical methods. The purpose of this special session is to bring together users and researchers to present the latest developments in the field of computational statistics. The special session provides a forum for academics and practitioners to disseminate high-quality results related to different aspects of modern computational statistical methods and their applications in data analysis. Potential topics include, but are not limited to, Bayesian computing, bootstrap and subsampling, statistical and machine learning, Monte Carlo methods, stochastic optimisation, random number generation and rare event probability estimation.

Key topics: Computational statistics, Data analysis, Monte Carlo methods, Machine learning