New method for predicting stochastic processes revolutionizes data analysis!
The article establishes a theory for estimating adaptive varying-coefficient linear models. The estimator for the index parameter is shown to be consistent. This differs from previous estimators that required being close to the true value. The estimation for coefficient functions adapts to the unknown index parameter. The researchers used empirical process theory for strictly stationary-mixing processes to derive these asymptotic properties.
