Electronic Journal of Statistics

Article	Citations
Spectrum inference for replicated spatial locally time-harmonizable time series	68
Optimal weighting for linear inverse problems	26
Phase transition in noisy high-dimensional random geometric graphs	24
Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance	23
Pathwise least-squares estimator for linear SPDEs with additive fractional noise	22
Regularized high dimension low tubal-rank tensor regression	21
Kernel machines with missing covariates	21
Species abundance distribution and species accumulation curve: a general framework and results	16
Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models	13
Post-selection inference for e-value based confidence intervals	12
On the notion of polynomial reach: A statistical application	12
Tempered positive Linnik processes and their representations	11
Stochastic online convex optimization. Application to probabilistic time series forecasting	11
Testing linear operator constraints in functional response regression with incomplete response functions	10
A supervised deep learning method for nonparametric density estimation	10
Bootstrapping exchangeable random graphs	9
Nonparametric regression in nonstandard spaces	9
Decompositions of the mean continuous ranked probability score	9
Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions	8
Selective inference for clustering with unknown variance	8
Efficient density estimation in an AR(1) model	7
A general framework for tensor screening through smoothing	7
Penalized nonparametric likelihood-based inference for current status data model	7
Gaussian random fields on the product of spheres: Theory and applications	7
Long memory of max-stable time series as phase transition: asymptotic behaviour of tail dependence estimators	7

Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination	6
Nonparametric estimation of the incubation time distribution	6
Bootstrap adjusted predictive classification for identification of subgroups with differential treatment effects under generalized linear models	6
Integrated empirical measures and generalizations of classical goodness-of-fit statistics	6
Simple sufficient condition for inadmissibility of Moran’s single-split test	6
Transform-scaled process priors for trait allocations in Bayesian nonparametrics	6
Functional estimation of anisotropic covariance and autocovariance operators on the sphere	6
Functional spherical autocorrelation: A robust estimate of the autocorrelation of a functional time series	6
A new framework for Bayesian function registration	6
Testing partial conjunction hypotheses under dependency, with applications to meta-analysis	6
Space-time integer-valued ARMA modelling for time series of counts	6
Consistency of a range of penalised cost approaches for detecting multiple changepoints	6
Testing subspace restrictions in the presence of high dimensional nuisance parameters	6
Tail-adaptive Bayesian shrinkage	6
On the nonparametric inference of coefficients of self-exciting jump-diffusion	6
Estimating the proportion of signal variables under arbitrary covariance dependence	5
Likelihood-based inference for exponential-family random graph models via linear programming	5
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression	5
On mixing rates for Bayesian CART	5
The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data	5
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression	5
Selective inference using randomized group lasso estimators for general models	5
Scalable logistic regression with crossed random effects	5
High-frequency volatility estimation and forecasting with a novel Bayesian LGI model	5
Resistant convex clustering: How does the fusion penalty enhance resistance?	5
Hoeffding-type decomposition for U-statistics on bipartite networks	5
Adaptive procedures for directional false discovery rate control	5
Rank determination in tensor factor model	5
Road traffic estimation and distribution-based route selection	5
Importance sampling-based gradient method for dimension reduction in Poisson log-normal model	5
Corrigendum to “Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions”	5
Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement	4
Nonparametric estimation of the expected discounted penalty function in the compound Poisson model	4
Bayesian regression analysis of panel count data under frailty nonhomogeneous Poisson process model with an unknown frailty distribution	4
Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis	4
Deep learning for regression analysis of interval-censored data	4
Corrigendum to “Maximum likelihood estimation in logistic regression models with a diverging number of covariates”	4
Truncated sum-of-squares estimation of fractional time series models with generalized power law trend	4
ANOVEX: ANalysis Of Variability for heavy-tailed EXtremes	4
Estimating causal effects with hidden confounding using instrumental variables and environments	4
Transportation-based functional ANOVA and PCA for covariance operators	4
A unified analysis of regression adjustment in randomized experiments	4
Computationally efficient inference for latent position network models	4
Multi-label residual weighted learning for individualized combination treatment rule	4
A new class of tests for convex-ordered families based on expected order statistics	4
Renewable Huber estimation method for streaming datasets	4
Mixture of segmentation for heterogeneous functional data	4
Sparse and smooth: Improved guarantees for spectral clustering in the dynamic stochastic block model	3
Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology	3
Multi-sample comparison using spatial signs for infinite dimensional data	3

Semi-supervised multiple testing	3
Statistical inference for the slope parameter in functional linear regression	3
Estimation of partially conditional average treatment effect by double kernel-covariate balancing	3
Regression in tensor product spaces by the method of sieves	3
Classification by sparse generalized additive models	3
Inference and model selection in general causal time series with exogenous covariates	3
FDP control in mass-univariate linear models using the residual bootstrap	3
Convergence rates of deep ReLU networks for multiclass classification	3
Variable selection for single-index varying-coefficients models with applications to synergistic G × E interactions	3
Nonparametric inference under a monotone hazard ratio order	3
Sufficient variable screening with high-dimensional controls	3
Reweighted nonparametric likelihood inference for linear functionals	3
Asymptotics of Yule’s nonsense correlation for Ornstein-Uhlenbeck paths: A Wiener chaos approach	3
Asymptotic properties of the maximum likelihood estimator for hidden Markov models indexed by binary trees	3
Multiple comparison procedures for simultaneous inference in functional MANOVA	3
Location- and scale-free procedures for distinguishing between distribution tail models	3
Random forest estimation of conditional distribution functions and conditional quantiles	3
Testing the simplifying assumption in high-dimensional vine copulas	3
Simultaneous factors selection and fusion of their levels in penalized logistic regression	3
Dimension independent excess risk by stochastic gradient descent	3
Revisiting consistency of a recursive estimator of mixing distributions	3
Multiplicative deconvolution under unknown error distribution	3
Construction of maximin L1-distance Latin hypercube designs	3
On the choice of the splitting ratio for the split likelihood ratio test	3
Multiclass classification for multidimensional functional data through deep neural networks	3
Localization in 1D non-parametric latent space models from pairwise affinities	3
Minimax confidence intervals for the Sliced Wasserstein distance	2
Differentially private Kolmogorov-Smirnov-type tests	2
A new set of tools for goodness-of-fit validation	2
A distance metric-based space-filling subsampling method for nonparametric models	2
Differentially private multivariate statistics with an application to contingency table analysis	2
Semiparametric empirical likelihood inference with estimating equations under density ratio models	2
Score function-based tests for ultrahigh-dimensional linear models	2
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity	2
Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes	2
Unbiased test error estimation in the Poisson means problem via coupled bootstrap techniques	2
Bayesian semiparametric modelling of phase-varying point processes	2
Collective proposal distributions for nonlinear MCMC samplers: Mean-field theory and fast implementation	2
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection	2
On a multivariate copula-based dependence measure and its estimation	2
Stacked Grenander and rearrangement estimators of a discrete distribution	2
Reconstruction of line-embeddings of graphons	2
Motif-based tests for bipartite networks	2
Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions	2
A convex approach to optimum design of experiments with correlated observations	2
Local false discovery rate based methods for multiple testing of one-way classified hypotheses	2
High-dimensional composite quantile regression: Optimal statistical guarantees and fast algorithms	2
A functional central limit theorem for the K-function with an estimated intensity function	2
Strong identifiability and parameter learning in regression with heterogeneous response	2
Direct covariance matrix estimation with compositional data	2
Concentration study of M-estimators using the influence function	2
Reproducible parameter inference using bagged posteriors	2
Spectral norm posterior contraction in Bayesian sparse spiked covariance matrix model	2
A note on estimating the dimension from a random geometric graph	2
Convergence properties of data augmentation algorithms for high-dimensional robit regression	2
Benign overfitting of non-sparse high-dimensional linear regression with correlated noise	2
Optimal function-on-scalar regression over complex domains	2
Semi-parametric Bernstein-von Mises theorem in linear inverse problems	2
Statistical inference on the Hilbert sphere with application to random densities	2
Minimax estimation of partially-observed vector autoregressions	2
High dimensional regression with many nuisance parameters: Both cases of specified and unspecified parameters of interest	2
Random permutations generated by delay models and estimation of delay distributions	2
Robust estimation for functional logistic regression models	2
Analytical and statistical properties of local depth functions motivated by clustering applications	2
Change-point inference for high-dimensional heteroscedastic data	2
High-dimensional functional graphical model structure learning via neighborhood selection approach	2
Projection-posterior for variable selection: Weak limit and coverage	2
General model-free weighted envelope estimation	2
Tail inference using extreme U-statistics	2
Covariance constraints for stochastic inverse problems of computer models	2
Off-the-grid prediction and testing for linear combination of translated features	2
Efficient estimation in tensor Curie-Weiss and Erdős-Rényi Ising models	2
Empirical Bayes inference in sparse high-dimensional generalized linear models	2
Copula-like inference for discrete bivariate distributions with rectangular supports	2
Single-index mixture cure model under monotonicity constraints	2
Adaptive nonparametric estimation in the functional linear model with functional output	2
Binary classification with corrupted labels	2
Covariate-informed reconstruction of partially observed functional data via factor models	2
Online inference in high-dimensional generalized linear models with streaming data	2
Wasserstein-Fréchet integration of conditional distributions	1

Robust estimation under a semiparametric propensity model for nonignorable missing data	1
Structural mean models for instrumented difference-in-differences	1
Generating knockoffs via conditional independence	1
Clustered Archimax copulas	1
Low-rank regularization in two-sided matrix regression	1
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models	1
Nonparametric regression for current status censored response	1
Berry-Esseen bounds of second moment estimators for Gaussian processes observed at high frequency	1
Fractionally integrated curve time series with cointegration	1
Power of weighted test statistics for structural change in time series	1
Optimal convergence rates of deep neural networks in a classification setting	1
smoothEM: A new approach for the simultaneous assessment of smooth patterns and spikes	1
Fast and optimal inference for change points in piecewise polynomials via differencing	1
Kernel regression analysis of tie-breaker designs	1
Multivariate tie-breaker designs	1
Intrinsic and extrinsic deep learning on manifolds	1
Robust propensity score weighting estimation under missing at random	1
Merging sequential e-values via martingales	1
Multiple regression for matrix and vector predictors: Models, theory, algorithms, and beyond	1
Sparse and integrative principal component analysis for multiview data	1
Adaptive warped kernel estimation for nonparametric regression with circular responses	1
Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting	1
Intuitive joint priors for Bayesian linear multilevel models: The R2D2M2 prior	1
Bernstein-von Mises theorem for the Pitman-Yor process of nonnegative type	1
Subsampling-based modified Bayesian information criterion for large-scale stochastic block models	1
Assessing the estimation of nearly singular covariance matrices for modeling spatial variables	1
Regression analysis of semiparametric Cox-Aalen transformation models with partly interval-censored data	1
Nonparametric linear feature learning in regression through regularisation	1
Fast robust kernel regression through sign gradient descent with early stopping	1
Testing for the network small-world property	1
Concentration inequalities for non-causal random fields	1
Two-step mixed-type multivariate Bayesian sparse variable selection with shrinkage priors	1
Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints	1
Multivariate strong invariance principles in Markov chain Monte Carlo	1
Information-theoretic limits for testing community structures in weighted networks	1
Least sum of squares of trimmed residuals regression	1
A bipartite ranking approach to the two-sample problem	1
Minimax optimal conditional density estimation under total variation smoothness	1
An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a periodized Matérn model	1
On a semiparametric estimation method for AFT mixture cure models	1
Nonparametric regression for locally stationary functional time series	1
Markov random geometric graph, MRGG: A growth model for temporal dynamic networks	1
Approximate Bayesian computation using the Fourier integral theorem	1
Sparse-limit approximation for t-statistics	1
Maximum profile binomial likelihood estimation for the semiparametric Box–Cox power transformation model	1
Asymptotic confidence intervals for extreme quantiles in a maximum domain of attraction	1
LAMN property for multivariate inhomogeneous diffusions with discrete observations	1
Score-matching representative approach for big data analysis with generalized linear models	1
Sieve estimation of semiparametric accelerated mean models with panel count data	1
Estimating individualized treatment rules for treatments with hierarchical structure	1
Rates of convergence for random forests via generalized U-statistics	1
Statistical inference for normal mixtures with unknown number of components	1
Asymptotic normality of simultaneous estimators of cyclic long-memory processes	1
Semi-supervised empirical risk minimization: Using unlabeled data to improve prediction	1
Deconvolution of spherical data corrupted with unknown noise	1
An analysis of precision in estimation with the stochastic EM algorithm	1
Besov-Laplace priors in density estimation: optimal posterior contraction rates and adaptation	1
Sufficient dimension reduction for survival data analysis with error-prone variables	1
Optimal detection of the feature matching map in presence of noise and outliers	1
Large-sample properties of non-stationary source separation for Gaussian signals	1
Modified wavelet variation for the Hermite processes	1
Smooth bootstrapping of copula functionals	1
Model selection and inference for estimation of causal parameters	1
Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge	1
Convergence rates for estimating multivariate scale mixtures of uniform densities	1
Turning the information-sharing dial: Efficient inference from different data sources	1
Path-dependent parametric decompositions in Ising models	1
Modelling time-varying first and second-order structure of time series via wavelets and differencing	1
Exponential family trend filtering on lattices	1
Asymptotic normality of Gini correlation in high dimension with applications to the K-sample problem	1
On the power of conditional independence testing under model-X	1
Constructing confidence intervals for the signals in sparse phase retrieval	1
Estimation of high-dimensional change-points under a group sparsity structure	1
Efficient sampling from the PKBD distribution	1
Subgroup analysis of high dimensional survival data based on penalized fusion and model averaging	1
Bayesian inference and prediction for mean-mixtures of normal distributions	1
Two-sample and change-point inference for non-Euclidean valued time series	1
Multivariate weighted empirical likelihood MLE for the Cox model with various types of censored data	1
Nonparametric and high-dimensional functional graphical models	1
Statistical inference via conditional Bayesian posteriors in high-dimensional linear regression	1
Design and analysis of bipartite experiments under a linear exposure-response model	1
Limit theorems for entropic optimal transport maps and Sinkhorn divergence	1
Generalized Bayesian likelihood-free inference	1
On dependent Dirichlet processes for general Polish spaces	1
Estimating the conditional distribution in functional regression problems	1
Monitoring time series with short detection delay	1
Discrepancy-based inference for intractable generative models using Quasi-Monte Carlo	1
Optimal L2-approximation of occupation and local times for symmetric stable processes	1
Likelihood-free frequentist inference: bridging classical statistics and machine learning for reliable simulator-based inference	1
Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism	1
On a general class of functionals: Statistical inference and application to risk measures	1
Online multiple testing with super-uniformity reward	1
A penalised bootstrap estimation procedure for the explained Gini coefficient	1
Extending the generalized Wendland covariance model	1