Stein 1956: Efficient nonparametric testing and estimation
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Publication:2054465
DOI10.1214/21-AOS2056zbMath1486.62089OpenAlexW3204036472MaRDI QIDQ2054465
Jon A. Wellner, Aad W. van der Vaart
Publication date: 3 December 2021
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/annals-of-statistics/volume-49/issue-4/Stein-1956-Efficient-nonparametric-testing-and-estimation/10.1214/21-AOS2056.full
Asymptotic properties of parametric estimators (62F12) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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- The epic story of maximum likelihood
- Information and asymptotic efficiency in parametric-nonparametric models
- On maximum likelihood estimation in infinite dimensional parameter spaces
- On differentiable functionals
- On the asymptotic information bound
- Contributions to a general asymptotic statistical theory. With the assistance of W. Wefelmeyer
- Efficient estimation in the errors in variables model
- Estimating a real parameter in a class of semiparametric models
- On adaptive estimation
- Geometrizing rates of convergence. II
- Renormalization exponents and optimal pointwise rates of convergence
- Adaptive maximum likelihood estimators of a location parameter
- An asymptotically efficient sequence of estimators of a location parameter
- An efficient and robust adaptive estimator of location
- Minimum Hellinger distance estimates for parametric models
- Robust location estimates
- Incidental versus random nuisance parameters
- Minimax estimation of a functional on a structured high-dimensional model
- Efficient semiparametric estimators via modified profile likelihood
- Semi-parametric efficiency, distribution-freeness and invariance
- Efficient maximum likelihood estimation in semiparametric mixture models
- Likelihood inference in the errors-in-variables model
- Efficient estimation in the two-sample semiparametric location-scale models
- Asymptotically efficient adaptive rank estimates in location models
- Adaptive estimation of a quadratic functional by model selection.
- Perturbation invariant estimates and incidental nuisance parameters.
- Semiparametric minimax rates
- Introduction to empirical processes and semiparametric inference
- Semiparametric theory and missing data.
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- Non-parametric applications of an infinite dimensional convolution theorem
- An Asymptotic Representation Theorem
- The Efficiency of Cox's Likelihood Function for Censored Data
- Asymptotic minimax theorems for the sample distribution function
- On a Non-Parametric Analogue of the Information Matrix
- Asymptotically efficient non-parametric estimators of location and scale parameters. II
- Semiparametric Regression
- Asymptotic Statistics
- On Profile Likelihood
- On the stability of maximum‐likelihood estimators of orthogonal parameters
- Asymptotically Most Powerful Rank-Order Tests
- On Estimating a Parameter and Its Score Function
- A characterization of limiting distributions of regular estimates
- Asymptotically efficient non-parametric estimators of location and scale parameters
- Efficiency-Robust Estimation of Location
- On the Assumptions Used to Prove Asymptotic Normality of Maximum Likelihood Estimates
- Consistent Estimates Based on Partially Consistent Observations
- Identifiability of a Linear Relation between Variables Which Are Subject to Error
