Maximum Mean Discrepancy (MMD) is a distance on the space of probability measures which has found numerous applications in machine learning and nonparametric testing. This distance is based on the notion of embedding probabilities in a reproducing kernel Hilbert space. In this paper, we present the first known lower bounds for the estimation of MMD based on finite samples. Our lower bounds hold...

This paper investigates the relationship between macroeconomic instability and private investment of the Iranian economy. The study uses a trivariate VAR(2)-GARCH(1,1)-in-Mean with diagonal BEKK approach to proxied inflation and exchange rate uncertainties as the main indicators of macroeconomic instability. Moreover, Bounds testing approach to level relationship applied to investigate the long...