Statistics at Cross-Road : CSA Bulletin Perspectives and Prospectives

Abstract

As we approach to bring out the 60th Volume of (CSA) Bulletin, we look back into our (modest) accomplishment, and look forward to our continuing progress, in a much wider and more challenging field, with our commitments and assessment of prospectives. The basic challenge comes from the ever-changing discipline, its integration into more interdisciplinary fields, its genuine dependence on rapidly faster computing facility along with diverse computational algorithms, and above all, the necessity to go beyond the so-called Neyman-Pearson paradigm in the 21st century. Even the Bayes perspectives have pointed out the limitations of conventional Bayes methods. These perspectives and prospectives are appraised thoroughly.