It reviews the axiomatic foundations of probability theory by A.N. Kolmogorov and how the Indian school of probabilists and statisticians used this theory effectively to study a host of applied probability and statistics problems like parameter estimation, convergence of a sequence of probability distributions, and martingale characterization of diffusions.
It will be an important resource to students and researchers of Physics and Engineering, especially those working with Advanced Probability and Statistics.
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