novel result that establishes strong approximation for any general series estimator admitting linearization, which may be of … bounds as a by-product of our inferential procedures. We develop theory for large sample inference based on the strong … approximation of a sequence of series or kernel-based empirical processes by a sequence of penultimate Gaussian processes. These …

novel result that establishes strong approximation for any general series estimator admitting linearization, which may be of … bounds as a by-product of our inferential procedures. We develop theory for large sample inference based on the strong … approximation of a sequence of series or kernel-based empirical processes by a sequence of "penultimate" Gaussian processes. These …

behaviour of the test, we extend a strong approximation result for partial sums of a sequence of random variables. We also …

behaviour of the test, we extend a strong approximation result for partial sums of a sequence of random variables. We also …

behaviour of the test, we extend a strong approximation result for partial sums of a sequence of random variables. We also …

inferential procedures. We develop theory for large sample inference based on the strong approximation of a sequence of series or … establishes strong approximation for any general series estimator admitting linearization, which may be of independent interest. …

strong approximation of a sequence of studentized empirical processes by a sequence of Gaussian or other pivotal processes … establishes strong approximation for general series estimators, which may be of independent interest. We illustrate the usefulness …

behaviour of the test, we extend a strong approximation result for partial sums of a sequence of random variables. We also …