Kernel density estimation on symmetric spaces of non-compact type

We construct a kernel density estimator on symmetric spaces of non-compact type and establish an upper bound for its convergence rate, analogous to the minimax rate classical estimators Euclidean space. Symmetric include hyperboloids constant curvature −1 positive definite matrices. This paper obtains simplified formula in special case when space is normal distributions, 2-dimensional hyperboloid.