Complex data sets have recently become a norm rather than an exception with the influx of data being now available practically in all areas of our life. Analysis of large data sets and the advances in computing power have given an impetus to the rapid rise of computationally intensive statistical methods. The aim 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, resampling methods, statistical and machine learning, Monte Carlo methods, stochastic optimisation, and statistical modelling.
Key topics: Computational statistics, Data analysis, Monte Carlo methods, Machine learning