Pages that link to "Item:Q2974526"
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The following pages link to Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method (Q2974526):
Displaying 8 items.
- Optimal-order bounds on the rate of convergence to normality in the multivariate delta method (Q276236) (← links)
- Assessing the multivariate normal approximation of the maximum likelihood estimator from high-dimensional, heterogeneous data (Q1627568) (← links)
- Bounds for the normal approximation of the maximum likelihood estimator from \(m\)-dependent random variables (Q1687208) (← links)
- Wasserstein distance error bounds for the multivariate normal approximation of the maximum likelihood estimator (Q2074310) (← links)
- Multivariate normal approximation of the maximum likelihood estimator via the delta method (Q2180265) (← links)
- Bootstrapping and sample splitting for high-dimensional, assumption-lean inference (Q2284380) (← links)
- Stein's method meets computational statistics: a review of some recent developments (Q2684693) (← links)
- Bounds in \(L^1\) Wasserstein distance on the normal approximation of general M-estimators (Q6158227) (← links)