High dimensional data
Collecting large amount of data is today a norm rather than an exception – partly dictated by the complexity of modern problems, and partly due to its convenient availability. The field of multivariate statistics has correspondingly grown to cope with the questions associated with such data. Originally motivated by the field of genetics, the investigation of high-dimensional data has now crept into as diverse areas of applications as engineering, psychology and behavioural sciences, biological sciences, and even agriculture and finance. To address the modern challenges, the statistical methodology is currently in the process of unprecedented development on all aspects: theory, computation and application. The field is set to grow unabatedly, and has secure future prospects.
Responsible researcher: Rauf Ahmad