The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Geometrizing Rates of Convergence, II
Open accessAbstract
Consider estimating a functional $T(F)$ of an unknown distribution $F \in \mathbf{F}$ from data $X_1, \cdots, X_n$ i.i.d. $F$. Let $\omega(\varepsilon)$ denote the modulus of continuity of the functional $T$ over $\mathbf{F}$, computed with respect to Hellinger distance. For well-behaved loss functions $l(t)$, we show that $\inf_{T_n \sup_\mathbf{F}} E_Fl(T_n - T(F))$ is equivalent to $l(\omega(n^{-1/2}))$ to within constants, whenever $T$ is linear and $\mathbf{F}$ is convex. The same conclusion holds in three nonlinear cases: estimating the rate of decay of a density, estimating the mode and robust nonparametric regression. We study the difficulty of testing between the composite, infinite dimensional hypotheses $H_0: T(F) \leq t$ and $H_1: T(F) \geq t + \Delta$. Our results hold, in the cases studied, because the difficulty of the full infinite-dimensional composite testing problem is comparable to the difficulty of the hardest simple two-point testing subproblem.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Convergence of Stochastic Processes.
Robinson, P. M., & Pollard, D. (1985) · Economica · doi:10.2307/2553898 · Cited by 2,184
Asymptotic Methods in Statistical Decision Theory
Cam, L. L. (1986) · Springer Series in Statistics · doi:10.1007/978-1-4612-4946-7 · Cited by 1,317
Additive Regression and Other Nonparametric Models
Stone, C. J. (1985) · The Annals of Statistics · doi:10.1214/aos/1176349548 · Cited by 1,232
Statistical Estimation: Asymptotic Theory
Samaniego, F. J. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b16414-10 · Cited by 1,155
Uncertainty Principles and Signal Recovery
Donoho, D. L., & Stark, P. B. (1989) · SIAM Journal on Applied Mathematics · doi:10.1137/0149053 · Cited by 1,054
Self-citationOptimal Rates of Convergence for Nonparametric Estimators
Stone, C. J. (1980) · The Annals of Statistics · doi:10.1214/aos/1176345206 · Cited by 795
Minimum Hellinger Distance Estimates for Parametric Models
Beran, R. (1977) · The Annals of Statistics · doi:10.1214/aos/1176343842 · Cited by 741
On Some Global Measures of the Deviations of Density Function Estimates
Bickel, P. J., & Rosenblatt, M. (1973) · The Annals of Statistics · doi:10.1214/aos/1176342558 · Cited by 727
The Central Limit Theorem for Real and Banach Valued Random Variables
Aldous, D., Araujo, A., Giné, E., & Gine, E. (1981) · Technometrics · doi:10.2307/1267796 · Cited by 576
Minimax Tests and the Neyman-Pearson Lemma for Capacities
Huber, P. J., & Strassen, V. (1973) · The Annals of Statistics · doi:10.1214/aos/1176342363 · Cited by 499
Cited by
Estimation of entropy and mutual information
Paninski, L. (2003) · Neural Computation · doi:10.1162/089976603321780272 · Cited by 1,442
On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems
Fan, J. (1991) · The Annals of Statistics · doi:10.1214/aos/1176348248 · Cited by 845
Elements of Large-Sample Theory
Strawderman, W. E., Lehmann, E. L., & Holmes, S. P. (2012) · Selected Works of E. L. Lehmann · doi:10.1007/978-1-4614-1412-4_97 · Cited by 818
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
Nguyen, X., Wainwright, M. J., & Jordan, M. I. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2010.2068870 · Cited by 379
Test of Significance Based on Wavelet Thresholding and Neyman's Truncation
Fan, J. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476936 · Cited by 288
Metadata
- Authors
- Donoho, D. L., & Liu, R. C.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1991-06-01
- Volume
- 19
- Issue
- 2
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W2070086983
- Cited by
- 261
- References
- 28
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Geometrizing Rates of Convergence, II. https://app.cochat.ai/papers/10.1214/aos/1176348114
- The paper
- Donoho, D. L., & Liu, R. C. (1991). Geometrizing Rates of Convergence, II. The Annals of Statistics. https://doi.org/10.1214/aos/1176348114
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.