An adaptive estimation of MAVE

Minimum average variance estimation (MAVE, Xia et al. 2002) is an effective dimension reduction method. It requires no strong probabilistic assumptions on the predictors, and can consistently estimate the central mean subspace. It is applicable to a wide range of models, including time series. However, the least squares criterion used in MAVE will lose its… CONTINUE READING