Electronic Journal of Applied Statistical Analysis

Data Analytics and Statistical Inference

M. Gallo^(a), M.R. Srinivasan^(b), and M. Subbiah<sup>(b) 

(a)</sup>University of Napoli – L’Orientale, Naples, Italy
^(b)University of Madras, Chennai, India

The volume, variety and velocity of data available to researchers have reached an unprecedented level. The nature of the data available from various sources and for a variety of applications have provided a fertile ground for the statisticians to develop new tools or revisit and refine the existing methods. The inferential approaches of both classical and Bayesian methods with its modifications are serving as boon to the applied statisticians as it helps in providing natural solutions to many problems which data scientists are looking for in their empirical studies of larger dimension. The special issue has opened doors into new frontiers of statistics and its applications which will provide direction and scope to the fast growing domain of analytics. The issue covers some of the fundamental issues of importance and upcoming applications.

M. Gallo, M.R. Srinivasanb, and M. Subbiahb (Guest Editors of EJASA)