A key feature of the Gaussian Probability Density Function (PDF) is its dependence solely on its first-order and second-order moments.
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GianlucaSun Dec 01 2024
Interestingly, a wide-sense stationary Gaussian process is equivalent to a strict-sense stationary process, meaning that both descriptions capture the same underlying behavior.
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LightningStrikeSun Dec 01 2024
Gaussian PDFs are highly versatile, capable of modeling the distribution of various processes.
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SumoPowerfulSun Dec 01 2024
The first-order moment, which is the mean, provides a measure of central tendency.