Convergence to stable laws in Mallows distance for mixing sequences of random variables

Convergence in Mallows distance is of particular interest when heavy-tailed distributions are considered. For 1 <= alpha <= 2, it constitutes an alternative technique to derive Central Limit type theorems for non-Gaussian a-stable laws. In this note, for properly stabilized martingale sums and sequences of phi-mixing random variables, we establish Mallows convergence to stable laws. Sufficient conditions are presented in the setting of familiar Lindeberg-like conditions and extend earlier results for the independent case.