Directional and Multivariate Statistics

This book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the 43rd Annual Convention of the Indian Society for Probability and Statistics (ISPS) held in Prayagraj (formerly Allahabad), Uttar Pradesh, India, from 6–8 February 2024, attribute was paid to Prof. Ashis SenGupta on the occasion of his 70th birthday. He has pioneered research on directional statistics in the modern era in India and enhanced it worldwide and contributed significantly to the advancement of the following topics: 




Highly flexible distributions on manifolds
Statistical machine learning in data science
Big data on manifolds
Optimal multiparameter, multivariate statistical inference
Reliability inference and stress-dependent-strength models
Directional statistics for highly volatile financial models
Cylindrical, spherical and toroidal regression analysis
Innovative applications of emerging real-life directional data