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In many statements in probability, there is an assumption like bounded fourth moment, so is there any random variable which has unbounded fourth moment?
The discussion centers on the concept of bounded fourth moments in probability theory. It establishes that certain heavy-tailed distributions, specifically the Cauchy and Pareto distributions, possess unbounded fourth moments, leading to infinite moments. This highlights the importance of understanding the behavior of these distributions in probabilistic statements and their implications in statistical analysis.
PREREQUISITESStatisticians, data scientists, and researchers in probability theory who are analyzing heavy-tailed distributions and their effects on statistical models.