Abstract
Let $X(t)$ be a Gaussian process taking values in $R^d$ and with its parameter in $R^N$. Then if $X_j$ has stationary increments and the function $\sigma^2(t) = E\{|X_j(s + t) - X_j(s)|^2\}$ behaves like $|t|^{2\alpha}$ as $|t| \downarrow 0, 0 < \alpha < 1$, the graph of $X$ has Hausdorff dimension $\min \{N/\alpha, N + d(1 - \alpha)\}$ with probability one. If $X$ is also ergodic and stationary, and if $N - d\alpha \geqq 0$, then the dimension of the level sets of $X$ is a.s. $N - d\alpha$.
Citation
Robert J. Adler. "Hausdorff Dimension and Gaussian Fields." Ann. Probab. 5 (1) 145 - 151, February, 1977. https://doi.org/10.1214/aop/1176995900
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