The great threat and destructiveness brought by a rock burst make its prediction prevention crucial in engineering. hazard evaluation at project locations is an effective way of preventing since currently real-time not available. Since different control factors discrimination conditions were accepted conventional risk determination methods, the same area may produce conflicting results. In this...

A class of statistical models is proposed for longitudinal network data. The dependent variable is the changing (or evolving) relation network, represented by two or more observations of a directed graph with a fixed set of actors. The network evolution is modeled as the consequence of the actors making new choices, or withdrawing existing choices, on the basis of functions, with fixed and rand...

The probabilistic approach to the evaluation of fire hazard and the effectiveness of fire-precaution measures enables a rational response to the randomness of fire outbreaks. This article employs the statistical analysis methods to elucidate the causes for the ignition of fire on a random sample of industrial buildings in the Republic of Slovenia. The analyses are based on the Structural Equati...

Organizations often need to choose Software Architecture for future development from several competing candidate architectures. The various stakeholders’ quality requirements need to be considered collectively to describe the quality requirements of the envisioned system and therefore build the basis for the comparison and selection criteria. The involvement of many stakeholders with different ...

Motivation The development of in silico models to predict chemical carcinogenesis from molecular structure would help greatly to prevent environmentally caused cancers. The Predictive Toxicology Challenge (PTC) competition was organized to test the state-of-the-art in applying machine learning to form such predictive models. Results Fourteen machine learning groups generated 111 models. The use...

This paper studies mechanisms for eliciting and evaluating statistical forecasts. Nature draws a state at random from a given state space, according to some distribution p. Prior to Nature’s move, an expert, who knows p, provides a forecast for a given statistic of p. The mechanism defines the expert’s payoff as a function of the forecast and the subsequently realized state. When the statistic ...