Abstract:
A concept of variational dimension for a random sequence with stationary increments is introduced. In the Gaussian case, the variational dimension in the limit coincides with the Hausdorff dimension of a proper random process. Applications of the concept are illustrated by examples of the neurology data and the network traffic analysis.
Key words:random sequences with stationary increments, variational dimension, Hausdorff dimension, fractal, self-similarity, data analysis.