There has been an increasing trend towards the use of complexity analysis in quantifying
neural activity measured by electroencephalography (EEG) signals. On top of revealing …

Summary Continuously indexed Gaussian fields (GFs) are the most important ingredient in
spatial statistical modelling and geostatistics. The specification through the covariance …

Glioblastomas are incurable tumors infiltrating the brain. A subpopulation of glioblastoma
cells forms a functional and therapy-resistant tumor cell network interconnected by tumor …

To seek stochastic analogies in key processes related to the hydrological cycle, an extended
collection of several billions of data values from hundred thousands of worldwide stations is …

We study efficiency of two Bitcoin markets (with respect to the US dollar and Chinese yuan)
and its evolution in time. As inefficiency can manifest through various channels, we utilize …

Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

Serration and noise behaviors in plastically deforming solids are related to avalanches of
deformation processes. In the stress-strain curves, the serration characteristics are visible as …

Continuously indexed datasets with multiple variables have become ubiquitous in the
geophysical, ecological, environmental and climate sciences, and pose substantial analysis …

The prediction of chaotic time series with neural networks is a traditional practical problem of
dynamic systems. This paper is not intended for proposing a new model or a new …

Supplement to “Strictly and non-strictly positive definite functions on spheres”. Appendix A
states and proves further criteria of Pólya type, thereby complementing Section 4.2 …