In this paper, we apply Rice’s formula, typically employed to calculate the mean number of upcrossings for stationary Gaussian processes, and extend it to the broader framework of generalized mixtures of Gaussian processes. The class of generalized mixtures of Gaussian distributions, recently introduced by [3], is highly comprehensive and includes significant subclasses such as mean mixtures of Gaussian, variance mixtures of Gaussian, meanvariance mixtures of Gaussian, and even scale mixtures of skew-Gaussian distributions. Consequently, our results hold substantial generality, enabling the extension of Rice’s formula to address specific scenarios within these subclasses.
Primary Language | English |
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Subjects | Statistical Analysis, Probability Theory, Applied Statistics |
Journal Section | Statistics |
Authors | |
Early Pub Date | January 23, 2025 |
Publication Date | |
Submission Date | May 1, 2024 |
Acceptance Date | January 5, 2025 |
Published in Issue | Year 2025 Early Access |