Annals of Statistics

Article	Citations
On high-dimensional Poisson models with measurement error: Hypothesis testing for nonlinear nonconvex optimization	132
Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles	81
A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids	69
Parametric copula adjusted for non- and semiparametric regression	65
Inference in Ising models on dense regular graphs	64
Robust k-means clustering for distributions with two moments	63
Efficiency in local differential privacy	61
Scalable estimation and inference for censored quantile regression process	49
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models	42
Deep learning for the partially linear Cox model	38
Universal rank inference via residual subsampling with application to large networks	35
Half-trek criterion for identifiability of latent variable models	33
Foundations of structural causal models with cycles and latent variables	30
Online inference with multi-modal likelihood functions	30
Learning sparse graphons and the generalized Kesten–Stigum threshold	29
Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories	27
Adaptive and robust multi-task learning	27
A general characterization of optimal tie-breaker designs	27
Admissible ways of merging p-values under arbitrary dependence	26
Consistent inference for diffusions from low frequency measurements	26
Community detection with dependent connectivity	25
Asymptotic analysis of synchrosqueezing transform—toward statistical inference with nonlinear-type time-frequency analysis	25
Inference for low-rank models	25
Inference for low-rank tensors—no need to debias	24
Asymptotic distributions of high-dimensional distance correlation inference	24

Rate-optimal estimation of mixed semimartingales	22
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling	22
A causal bootstrap	22
Environment invariant linear least squares	21
Order-of-addition orthogonal arrays to study the effect of treatment ordering	21
Consistent order selection for ARFIMA processes	21
Nonparametric classification with missing data	20
Sharp optimality for high-dimensional covariance testing under sparse signals	20
Change-point inference in high-dimensional regression models under temporal dependence	20
Spectral estimation of Hawkes processes from count data	20
Refined Cramér-type moderate deviation theorems for general self-normalized sums with applications to dependent random variables and winsorized mean	20
Supervised homogeneity fusion: A combinatorial approach	19
On posterior consistency of data assimilation with Gaussian process priors: The 2D-Navier–Stokes equations	19
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models	18
Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations	18
Rank and factor loadings estimation in time series tensor factor model by pre-averaging	18
Distributed nonparametric function estimation: Optimal rate of convergence and cost of adaptation	17
Wilks’ theorem for semiparametric regressions with weakly dependent data	17
New Edgeworth-type expansions with finite sample guarantees	17
General spatio-temporal factor models for high-dimensional random fields on a lattice	17
A nonparametric test for elliptical distribution based on kernel embedding of probabilities	17
Iterative algorithm for discrete structure recovery	17
Spatial dependence and space–time trend in extreme events	17
Plugin estimation of smooth optimal transport maps	16
Consistency of Bayesian inference for multivariate max-stable distributions	16
Time-uniform central limit theory and asymptotic confidence sequences	15
Computational lower bounds for graphon estimation via low-degree polynomials	15
Toward theoretical understandings of robust Markov decision processes: Sample complexity and asymptotics	15
Edgeworth expansions for network moments	15
Learning mixtures of permutations: Groups of pairwise comparisons and combinatorial method of moments	15
Projected state-action balancing weights for offline reinforcement learning	15
Transfer learning for contextual multi-armed bandits	15
Backfitting for large scale crossed random effects regressions	15
Minimax rate of distribution estimation on unknown submanifolds under adversarial losses	14
Sup-norm adaptive drift estimation for multivariate nonreversible diffusions	14
The Lasso with general Gaussian designs with applications to hypothesis testing	14
Optimal rates for independence testing via U-statistic permutation tests	14
Wald tests when restrictions are locally singular	13
A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery	13
Finite-sample complexity of sequential Monte Carlo estimators	13
Consistency of invariance-based randomization tests	13
Minimax nonparametric estimation of pure quantum states	13
Surprises in high-dimensional ridgeless least squares interpolation	13
Detecting multiple replicating signals using adaptive filtering procedures	12
A new approach to tests and confidence bands for distribution functions	12
Approximate Message Passing algorithms for rotationally invariant matrices	12
Testing for independence in high dimensions based on empirical copulas	12
Testing community structure for hypergraphs	11
Testing nonparametric shape restrictions	11
Linear biomarker combination for constrained classification	11

Confidence regions near singular information and boundary points with applications to mixed models	11
Interactive versus noninteractive locally differentially private estimation: Two elbows for the quadratic functional	11
Change acceleration and detection	11
Sharp adaptive and pathwise stable similarity testing for scalar ergodic diffusions	11
On least squares estimation under heteroscedastic and heavy-tailed errors	11
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions	11
Dispersal density estimation across scales	10
Carving model-free inference	10
Bridging factor and sparse models	10
Adaptive transfer learning	10
ℓ2 inference for change points in high-dimensional time series via a Two-Way MOSUM	10
The Stein effect for Fréchet means	10
Dimension free ridge regression	10
On universally consistent and fully distribution-free rank tests of vector independence	10
On the sample complexity of entropic optimal transport	9
ARK: Robust knockoffs inference with coupling	9
Marginal singularity and the benefits of labels in covariate-shift	9
Tensor clustering with planted structures: Statistical optimality and computational limits	9
Correction note: “Asymptotic spectral theory for nonlinear time series”	9
Nonlinear global Fréchet regression for random objects via weak conditional expectation	9
Ridge regression revisited: Debiasing, thresholding and bootstrap	9
Learning models with uniform performance via distributionally robust optimization	9
Adaptive estimation in multivariate response regression with hidden variables	9
Joint sequential detection and isolation for dependent data streams	8
Matching recovery threshold for correlated random graphs	8
Heavy-tailed Bayesian nonparametric adaptation	8
Global and individualized community detection in inhomogeneous multilayer networks	8
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	8
Statistical inference for principal components of spiked covariance matrices	8
Testing high-dimensional regression coefficients in linear models	8
Multivariate trend filtering for lattice data	8
Large-dimensional independent component analysis: Statistical optimality and computational tractability	8
SuperMix: Sparse regularization for mixtures	8
Existence and uniqueness of the Kronecker covariance MLE	8
Sparse high-dimensional linear regression. Estimating squared error and a phase transition	8
Analysis of generalized Bregman surrogate algorithms for nonsmooth nonconvex statistical learning	8
A nonparametric doubly robust test for a continuous treatment effect	7
Affine-equivariant inference for multivariate location under Lp loss functions	7
Embedding distributional data	7
Bootstrapping persistent Betti numbers and other stabilizing statistics	7
Inference for a two-stage enrichment design	7
Efficient estimation of the maximal association between multiple predictors and a survival outcome	7
Ensemble projection pursuit for general nonparametric regression	7
Peskun–Tierney ordering for Markovian Monte Carlo: Beyond the reversible scenario	7
Rerandomization with diminishing covariate imbalance and diverging number of covariates	7
A general framework to quantify deviations from structural assumptions in the analysis of nonstationary function-valued processes	7
On robustness and local differential privacy	7
Adaptive variational Bayes: Optimality, computation and applications	7
Spectral analysis of gram matrices with missing at random observations: Convergence, central limit theorems, and applications in statistical inference	7
Post-selection inference via algorithmic stability	7
Local permutation tests for conditional independence	7
On the existence of powerful p-values and e-values for composite hypotheses	6
Adaptive novelty detection with false discovery rate guarantee	6
Some theory about efficient dimension reduction regarding the interaction between two responses	6
Optimal signal detection in some spiked random matrix models: Likelihood ratio tests and linear spectral statistics	6
Universal regression with adversarial responses	6
Strong selection consistency of Bayesian vector autoregressive models based on a pseudo-likelihood approach	6
A new and flexible design construction for orthogonal arrays for modern applications	6
Bootstrap-assisted inference for generalized Grenander-type estimators	6
General and feasible tests with multiply-imputed datasets	6
The online closure principle	6
Estimating a density near an unknown manifold: A Bayesian nonparametric approach	6
Central limit theorem and bootstrap approximation in high dimensions: Near 1/n rates via implicit smoothing	6
Optimal subgroup selection	6
Deep neural networks for nonparametric interaction models with diverging dimension	6
Stereographic Markov chain Monte Carlo	6
Optimal false discovery rate control for large scale multiple testing with auxiliary information	6
Total positivity in multivariate extremes	6
Two-level parallel flats designs	6
Rates of estimation for high-dimensional multireference alignment	6
Convex regression in multidimensions: Suboptimality of least squares estimators	6
S-estimation in linear models with structured covariance matrices	6
Improved covariance estimation: Optimal robustness and sub-Gaussian guarantees under heavy tails	6
Statistical complexity and optimal algorithms for nonlinear ridge bandits	5
Model selection in the space of Gaussian models invariant by symmetry	5
Extreme value inference for heterogeneous power law data	5
Infinite-dimensional gradient-based descent for alpha-divergence minimisation	5
Rate-optimal robust estimation of high-dimensional vector autoregressive models	5
Conditional calibration for false discovery rate control under dependence	5
Estimation of the spectral measure from convex combinations of regularly varying random vectors	5

Causal discovery in heavy-tailed models	5
A study of orthogonal array-based designs under a broad class of space-filling criteria	5
Consistent nonparametric estimation for heavy-tailed sparse graphs	5
Skewed Bernstein–von Mises theorem and skew-modal approximations	5
On minimax optimality of sparse Bayes predictive density estimates	5
Conditional predictive inference for stable algorithms	5
Grouped variable selection with discrete optimization: Computational and statistical perspectives	5
Statistical inference in sparse high-dimensional additive models	5
Augmented minimax linear estimation	5
A conformal test of linear models via permutation-augmented regressions	5
Distributed adaptive Gaussian mean estimation with unknown variance: Interactive protocol helps adaptation	5
Gaussian process regression in the flat limit	5
Approximation error from discretizations and its applications	5
Optimality of spectral clustering in the Gaussian mixture model	4
Learning low-dimensional nonlinear structures from high-dimensional noisy data: An integral operator approach	4
High-dimensional inference for dynamic treatment effects	4
Editorial: Memorial issue for Charles Stein	4
One-step estimation of differentiable Hilbert-valued parameters	4
False discovery rate control with unknown null distribution: Is it possible to mimic the oracle?	4
Boosted nonparametric hazards with time-dependent covariates	4
Higher criticism to compare two large frequency tables, with sensitivity to possible rare and weak differences	4
Early stopping for L2-boosting in high-dimensional linear models	4
On cross-validated Lasso in high dimensions	4
Convergence of de Finetti’s mixing measure in latent structure models for observed exchangeable sequences	4
Stein’s method of normal approximation: Some recollections and reflections	4
A statistical framework of watermarks for large language models: Pivot, detection efficiency and optimal rules	4
Integrative methods for post-selection inference under convex constraints	4
How do noise tails impact on deep ReLU networks?	4
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression	4
Variable selection consistency of Gaussian process regression	4
MARS via LASSO	4
Precise error rates for computationally efficient testing	3
On statistical learning of simplices: Unmixing problem revisited	3
Unified algorithms for RL with Decision-Estimation Coefficients: PAC, reward-free, preference-based learning and beyond	3
Tensor factor model estimation by iterative projection	3
Testing equivalence of clustering	3
Variable selection, monotone likelihood ratio and group sparsity	3
Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models	3
Gromov–Wasserstein distances: Entropic regularization, duality and sample complexity	3
Statistical-computational trade-offs in tensor PCA and related problems via communication complexity	3
Quantile processes and their applications in finite populations	3
Statistical guarantees for Bayesian uncertainty quantification in nonlinear inverse problems with Gaussian process priors	3
The edge of discovery: Controlling the local false discovery rate at the margin	3
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity	3
Asymptotic normality and optimality in nonsmooth stochastic approximation	3
Propriety of the reference posterior distribution in Gaussian process modeling	3
Optimal heteroskedasticity testing in nonparametric regression	3
Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm	3
On blockwise and reference panel-based estimators for genetic data prediction in high dimensions	3
Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices	3
Fundamental limits of low-rank matrix estimation with diverging aspect ratios	3
On the statistical complexity of sample amplification	3
Empirical tail copulas for functional data	3
Set structured global empirical risk minimizers are rate optimal in general dimensions	3
Deep approximate policy iteration	3
Optimal policy evaluation using kernel-based temporal difference methods	3
Total positivity in exponential families with application to binary variables	3
The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime	3
Isotonic regression with unknown permutations: Statistics, computation and adaptation	3
StarTrek: Combinatorial variable selection with false discovery rate control	3
Inference for extremal regression with dependent heavy-tailed data	3
Correction note: “Statistical inference for the mean outcome under a possibly nonunique optimal treatment rule”	3
Projective, sparse and learnable latent position network models	3
Testing for practically significant dependencies in high dimensions via bootstrapping maxima of U-statistics	3
Random graph asymptotics for treatment effect estimation under network interference	3
Uniform consistency in nonparametric mixture models	3
Adaptive learning rates for support vector machines working on data with low intrinsic dimension	3
Optimal difference-based variance estimators in time series: A general framework	3
Non-independent component analysis	3
Spectral statistics of sample block correlation matrices	3
Efficient functional estimation and the super-oracle phenomenon	2
A statistical framework for analyzing shape in a time series of random geometric objects	2
Graphical models for nonstationary time series	2
Efficiency of delayed-acceptance random walk Metropolis algorithms	2
Reconciling design-based and model-based causal inferences for split-plot experiments	2
Sharp global convergence guarantees for iterative nonconvex optimization with random data	2
On the robustness of minimum norm interpolators and regularized empirical risk minimizers	2
The impacts of unobserved covariates on covariate-adaptive randomized experiments	2
Computationally efficient and statistically optimal robust high-dimensional linear regression	2
Conditional sequential Monte Carlo in high dimensions	2
Single index Fréchet regression	2
Adaptive estimation of multivariate piecewise polynomials and bounded variation functions by optimal decision trees	2
What is resolution? A statistical minimax testing perspective on superresolution microscopy	2
Settling the sample complexity of model-based offline reinforcement learning	2
Optimal estimation of high-dimensional Gaussian location mixtures	2
Reconciling the Gaussian and Whittle likelihood with an application to estimation in the frequency domain	2
Characterizing the SLOPE trade-off: A variational perspective and the Donoho–Tanner limit	2
A CLT for second difference estimators with an application to volatility and intensity	2
Precise statistical analysis of classification accuracies for adversarial training	2
Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility	2
Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes	2
Adaptive test of independence based on HSIC measures	2
AutoRegressive approximations to nonstationary time series with inference and applications	2
Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces	2
Local Whittle estimation of high-dimensional long-run variance and precision matrices	2