METHODS FOR COMBINING NEUMANN–PEARSON STATISTICS AND BAYESIAN STATISTICS IN OBSERVATIONAL ASTROPHYSICS (REVIEW)
The article offers an overview and methodology for combining Neumann–Pearson statistics and Bayesian statistics with integrated visualization of cognitive images for processing multidimensional data of astronomical observations. These methods are very successfully applied in astrophysics and can be used for a wide range of problems in BIG DATA. The technique of such a combination can be oriented towards identifying and forecasting emergency situations in complex systems. In the proposed approach, Bayesian integration and visualization of cognitive images is based on the statistical capabilities of algorithms and programs to identify and objectify in cognitive probabilistic images signs of differences in the spatial or temporal structure of objects of observation.