Intro to operators, probabilities, and linear model -- Lp-approximable sequences of vectors -- Convergence of linear and quadratic forms -- Regressions with slowly varying regressors -- Spatial models -- Convergence almost everywhere -- Nonlinear models -- Tools for vector autoregressions

This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data. The proposed minimax approach to solve problems with geometrical uncertainty of sample data involves an...