Semiparametric minimax rates
From MaRDI portal
Publication:1952026
DOI10.1214/09-EJS479zbMath1326.62080WikidataQ55029354 ScholiaQ55029354MaRDI QIDQ1952026
Eric J. Tchetgen Tchetgen, James M. Robins, Aad W. van der Vaart, Ling-Ling Li
Publication date: 27 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1259944248
Hellinger distancenonlinear functionalmissing datamixturesnonparametric estimationHellinger affinity
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Minimax procedures in statistical decision theory (62C20)
Related Items
Asymptotic normality of quadratic estimators, Towards optimal doubly robust estimation of heterogeneous causal effects, Unnamed Item, Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators, Marginal integration for nonparametric causal inference, Semiparametric minimax rates, Semiparametric Bayesian causal inference, On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning, Discussion of ``On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning, Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning, Optimal estimation of variance in nonparametric regression with random design, Higher order inference on a treatment effect under low regularity conditions, The Hardness of Conditional Independence Testing and the Generalised Covariance Measure, Stein 1956: Efficient nonparametric testing and estimation, Augmented minimax linear estimation, The Bayesian analysis of complex, high-dimensional models: can it be CODA?, Higher order tangent spaces and influence functions
Cites Work
- Asymptotic methods in statistical decision theory
- Nonparametric goodness-of-fit testing under Gaussian models
- Estimation of integral functionals of a density
- Weak convergence and empirical processes. With applications to statistics
- Semiparametric minimax rates
- Convergence of estimates under dimensionality restrictions
- Dealing with limited overlap in estimation of average treatment effects
- Higher order influence functions and minimax estimation of nonlinear functionals
- Asymptotic Statistics
- Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
- Introduction to nonparametric estimation