摘要：We review the current state of statistical modeling of asymptotically independent
data. Our discussion includes necessary and sufficient conditions for asymptotic independence,
results on the asymptotic independence of statistics of interest, estimation
and inference issues, joint tail modeling, and conditional approaches. For each of
these topics we give an account of existing approaches and relevant methods for data
analysis and applications.
