<Para ID="Par1">In this paper we present a new linear regression technique for distributional symbolic variables, i.e., variables whose realizations can be histograms, empirical distributions or empirical estimates of parametric distributions. Such data are known as numerical modal data according to the...</para>

Flood forecasting plays an essential role in enhancing the safety of residents downstream and preventing or reducing economic losses. One critical issue in flood risk assessment is the determination of the probability distribution of forecast errors. Several investigations, which have been...

In this paper we deal with the problem of non-stationarity encountered in a lot of data sets, mainly in financial and economics domains, coming from the presence of multiple seasonnalities, jumps, volatility, distorsion, aggregation, etc. Existence of non-stationarity involves spurious behaviors...

In this paper we deal with the problem of non-stationarity encountered in a lot of data sets, mainly in financial and economics domains, coming from the presence of multiple seasonnalities, jumps, volatility, distorsion, aggregation, etc. Existence of non-stationarity involves spurious behaviors...

Although Bosnia and Herzegovina (BiH) has experienced rapid growth in credit to households in recent years, most individuals are still credit constrained. This paper analyzes the determinants of household credit demand and credit constraints in BiH. To our knowledge, it is the first study on...

We experimentally investigate the scaling probability distributions of various intrachain distances of granular chains in two-dimensional static packing, the chain length of which ranges from N=64 to 2048. With the scaling method proposed in the polymer theory, the scaled data from granular...