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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
