One natural way to measure model adequacy is by using statistical distances as loss
functions. A related fundamental question is how to construct loss functions that are …

A clustering procedure for time series based on the use of the total variation distance
between normalized spectral densities is proposed in this work. The approach is thus based …

Modern indoor positioning system services are important technologies that play vital roles in
modern life, providing many services such as recruiting emergency healthcare providers …

The problem of detecting changes in the state of the sea is very important for the analysis
and determination of wave climate in a given location. Wave measurements are frequently …

In this work we consider the problem of detection of stationary intervals for random waves
using clustering techniques for time series. The detection of changes in time series from an …