Before revision:  As an application, we propose a new estimator that minimizes the(\beta) that may depend on a possibly infinite-dimensional parameter \beta\in }\Bbf\E  ||X(\beta)|| \leq CK }\left( + \gamma_2(}\Bbf\right)(\cdot), and \gamma_2(}\Bbf\Bbf operator norm of the matrix that consists ofthe moment functions.
After revision:  As an application, we propose a new estimator that minimizes the(\beta) that may depend on a possibly infinite-dimensional parameter \beta\in }\Bbf\E ||X(\beta)|| \leq CK }\left( + \gamma_2(}\Bbf\right), where C is an absolute constant, K controls the tail behavior of (the increments of) x_{it(\cdot), and \gamma_2(}\Bbf\Bbf operator norm of the matrix that consists ofthe moment functions.