  We study the joint distributions of translated measures supported on leaves
which are expanded by subgroups of diagonal matrices and generalize previous
results of Kleinbock--Margulis, Dabbs--Kelly--Li, and Shi. More specifically,
we establish quantitative estimates on higher-order correlations for measures
with low regularities and derive error terms which only depend on the distances
between translations.
