Electronic Journal of Statistics

Article	Citations
Species abundance distribution and species accumulation curve: a general framework and results	83
Pathwise least-squares estimator for linear SPDEs with additive fractional noise	32
Optimal weighting for linear inverse problems	25
Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance	25
Kernel machines with missing covariates	24
Phase transition in noisy high-dimensional random geometric graphs	22
Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models	22
On the notion of polynomial reach: A statistical application	18
Selective inference for clustering with unknown variance	16
Testing linear operator constraints in functional response regression with incomplete response functions	13
Confidence sets in a sparse stochastic block model with two communities of unknown sizes	13
Tempered positive Linnik processes and their representations	12
Adjusting inverse regression for predictors with clustered distribution	12
Decompositions of the mean continuous ranked probability score	11
Nonparametric regression in nonstandard spaces	11
Stochastic online convex optimization. Application to probabilistic time series forecasting	11
Spectrum inference for replicated spatial locally time-harmonizable time series	10
Regularized high dimension low tubal-rank tensor regression	10
A supervised deep learning method for nonparametric density estimation	10
Efficient density estimation in an AR(1) model	9
Bootstrapping exchangeable random graphs	9
Consistency of a range of penalised cost approaches for detecting multiple changepoints	9
Penalized nonparametric likelihood-based inference for current status data model	9
Long memory of max-stable time series as phase transition: asymptotic behaviour of tail dependence estimators	9
Post-selection inference for e-value based confidence intervals	9

Functional estimation of anisotropic covariance and autocovariance operators on the sphere	8
Transform-scaled process priors for trait allocations in Bayesian nonparametrics	8
Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions	8
Nonparametric estimation of the incubation time distribution	8
A general framework for tensor screening through smoothing	8
High-dimensional change point detection with missing values	7
Testing subspace restrictions in the presence of high dimensional nuisance parameters	7
Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination	7
Testing partial conjunction hypotheses under dependency, with applications to meta-analysis	7
Gaussian random fields on the product of spheres: Theory and applications	7
Space-time integer-valued ARMA modelling for time series of counts	7
Integrated empirical measures and generalizations of classical goodness-of-fit statistics	6
Unified and robust tests for cross sectional independence in large panel data models	6
Domain adaptation under hidden confounding	6
Adaptive procedures for directional false discovery rate control	6
On the nonparametric inference of coefficients of self-exciting jump-diffusion	6
A new framework for Bayesian function registration	6
Tail-adaptive Bayesian shrinkage	6
Scalable logistic regression with crossed random effects	6
Bootstrap adjusted predictive classification for identification of subgroups with differential treatment effects under generalized linear models	6
Simple sufficient condition for inadmissibility of Moran’s single-split test	6
Road traffic estimation and distribution-based route selection	6
Functional spherical autocorrelation: A robust estimate of the autocorrelation of a functional time series	6
Estimating the proportion of signal variables under arbitrary covariance dependence	5
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression	5
Resistant convex clustering: How does the fusion penalty enhance resistance?	5
A new class of tests for convex-ordered families based on expected order statistics	5
Posterior contraction rates in a sparse non-linear mixed-effects model	5
Multi-label residual weighted learning for individualized combination treatment rule	5
Nonparametric estimation of the expected discounted penalty function in the compound Poisson model	5
On mixing rates for Bayesian CART	5
The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data	5
Rank determination in tensor factor model	5
Selective inference using randomized group lasso estimators for general models	5
Mixed semi-supervised generalized linear regression with applications to deep learning and interpolators	5
Existence and breakdown analysis of M-quantiles in general Hilbert spaces	5
A unified analysis of regression adjustment in randomized experiments	5
Correlation tests and sample spectral coherence matrix in the high-dimensional regime	5
Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement	5
Likelihood-based inference for exponential-family random graph models via linear programming	5
Importance sampling-based gradient method for dimension reduction in Poisson log-normal model	5
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression	5
Nonparametric regression for a circular response with error-in-covariate	5
Corrigendum to “Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions”	5
Truncated sum-of-squares estimation of fractional time series models with generalized power law trend	5
Concentration and consistency of sample covariance matrix functionals in sub-Gaussian models	5
Bayesian regression analysis of panel count data under frailty nonhomogeneous Poisson process model with an unknown frailty distribution	5
Corrigendum to “Maximum likelihood estimation in logistic regression models with a diverging number of covariates”	5
Hoeffding-type decomposition for U-statistics on bipartite networks	5
High-frequency volatility estimation and forecasting with a novel Bayesian LGI model	5

Multiple comparison procedures for simultaneous inference in functional MANOVA	4
Simultaneous factors selection and fusion of their levels in penalized logistic regression	4
Deep learning for regression analysis of interval-censored data	4
Regression in tensor product spaces by the method of sieves	4
Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis	4
Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology	4
Automatic structure identification and variable selection for additive accelerated failure time model with ultra high dimensional covariates	4
Convergence rates of deep ReLU networks for multiclass classification	4
Random forest estimation of conditional distribution functions and conditional quantiles	4
Nonparametric inference under a monotone hazard ratio order	4
Localization in 1D non-parametric latent space models from pairwise affinities	4
Sparse and smooth: Improved guarantees for spectral clustering in the dynamic stochastic block model	4
Semi-supervised multiple testing	4
ANOVEX: ANalysis Of Variability for heavy-tailed EXtremes	4
Multiplicative deconvolution under unknown error distribution	4
Inference and model selection in general causal time series with exogenous covariates	4
Estimating causal effects with hidden confounding using instrumental variables and environments	4
Transportation-based functional ANOVA and PCA for covariance operators	4
Renewable Huber estimation method for streaming datasets	4
Mixture of segmentation for heterogeneous functional data	4
Asymptotics of Yule’s nonsense correlation for Ornstein-Uhlenbeck paths: A Wiener chaos approach	4
k-sample inference via multimarginal optimal transport	4
Computationally efficient inference for latent position network models	4
Consistent privacy-preserving inference of group mean difference in large-scale zero-inflated right skewed data with partitioning and censoring	4
Motif-based tests for bipartite networks	3
Reproducible parameter inference using bagged posteriors	3
High-dimensional composite quantile regression: Optimal statistical guarantees and fast algorithms	3
High dimensional regression with many nuisance parameters: Both cases of specified and unspecified parameters of interest	3
Construction of maximin L1-distance Latin hypercube designs	3
Deconvolution of repeated measurements corrupted by unknown noise	3
On the choice of the splitting ratio for the split likelihood ratio test	3
Location- and scale-free procedures for distinguishing between distribution tail models	3
Estimation of partially conditional average treatment effect by double kernel-covariate balancing	3
Multiclass classification for multidimensional functional data through deep neural networks	3
Reweighted nonparametric likelihood inference for linear functionals	3
Collective proposal distributions for nonlinear MCMC samplers: Mean-field theory and fast implementation	3
Change-point inference for high-dimensional heteroscedastic data	3
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity	3
Robust estimation for functional logistic regression models	3
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection	3
Balancing weights for non-monotone missing data	3
Semi-parametric Bernstein-von Mises theorem in linear inverse problems	3
Dimension independent excess risk by stochastic gradient descent	3
A note on estimating the dimension from a random geometric graph	3
Sufficient variable screening with high-dimensional controls	3
A signature-based functional spatial autoregressive model	3
Asymptotic properties of the maximum likelihood estimator for hidden Markov models indexed by binary trees	3
Classification by sparse generalized additive models	3
Benign overfitting of non-sparse high-dimensional linear regression with correlated noise	3
Efficient estimation in tensor Curie-Weiss and Erdős-Rényi Ising models	3
Unbiased test error estimation in the Poisson means problem via coupled bootstrap techniques	3
A convex approach to optimum design of experiments with correlated observations	3
Revisiting consistency of a recursive estimator of mixing distributions	3
Minimax confidence intervals for the Sliced Wasserstein distance	3
Testing the simplifying assumption in high-dimensional vine copulas	3
Optimal function-on-scalar regression over complex domains	3
Covariance constraints for stochastic inverse problems of computer models	3
Variable selection for single-index varying-coefficients models with applications to synergistic G × E interactions	3
Copula-like inference for discrete bivariate distributions with rectangular supports	3
FDP control in mass-univariate linear models using the residual bootstrap	3
Statistical inference for the slope parameter in functional linear regression	3
Multi-sample comparison using spatial signs for infinite dimensional data	3
Single-index mixture cure model under monotonicity constraints	3
Projection-posterior for variable selection: Weak limit and coverage	3
Adaptive nonparametric estimation in the functional linear model with functional output	3
Strong identifiability and parameter learning in regression with heterogeneous response	3
Optimal detection of the feature matching map in presence of noise and outliers	2
Assessing the estimation of nearly singular covariance matrices for modeling spatial variables	2
Covariate-informed reconstruction of partially observed functional data via factor models	2
Intrinsic and extrinsic deep learning on manifolds	2
Local Fréchet regression with spherical predictors	2
Fast robust kernel regression through sign gradient descent with early stopping	2
Bayesian semiparametric modelling of phase-varying point processes	2
Two-step mixed-type multivariate Bayesian sparse variable selection with shrinkage priors	2
Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes	2
Concentration study of M-estimators using the influence function	2
Randomization tests for conditional group symmetry	2
Differentially private multivariate statistics with an application to contingency table analysis	2
Analytical and statistical properties of local depth functions motivated by clustering applications	2
Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism	2

Berry-Esseen bounds of second moment estimators for Gaussian processes observed at high frequency	2
Informed Partition Models for Dependent Random Partitions	2
Minimax estimation of partially-observed vector autoregressions	2
Optimal convergence rates of deep neural networks in a classification setting	2
Direct covariance matrix estimation with compositional data	2
Smooth bootstrapping of copula functionals	2
Kernel regression analysis of tie-breaker designs	2
Empirical Bayes inference in sparse high-dimensional generalized linear models	2
Deconvolution of spherical data corrupted with unknown noise	2
Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions	2
Modelling time-varying first and second-order structure of time series via wavelets and differencing	2
Sparse-limit approximation for t-statistics	2
Random permutations generated by delay models and estimation of delay distributions	2
Estimating the conditional distribution in functional regression problems	2
Score function-based tests for ultrahigh-dimensional linear models	2
Low-rank regularization in two-sided matrix regression	2
Convergence properties of data augmentation algorithms for high-dimensional robit regression	2
Likelihood-free frequentist inference: bridging classical statistics and machine learning for reliable simulator-based inference	2
General model-free weighted envelope estimation	2
Stacked Grenander and rearrangement estimators of a discrete distribution	2
Besov-Laplace priors in density estimation: optimal posterior contraction rates and adaptation	2
A functional central limit theorem for the K-function with an estimated intensity function	2
Efficient sampling from the PKBD distribution	2
Semiparametric empirical likelihood inference with estimating equations under density ratio models	2
Bayesian inference and prediction for mean-mixtures of normal distributions	2
On the power of conditional independence testing under model-X	2
Multivariate weighted empirical likelihood MLE for the Cox model with various types of censored data	2
Online inference in high-dimensional generalized linear models with streaming data	2
Rates of convergence for random forests via generalized U-statistics	2
Merging sequential e-values via martingales	2
On a multivariate copula-based dependence measure and its estimation	2
Online multiple testing with super-uniformity reward	2
Differentially private Kolmogorov-Smirnov-type tests	2
A new set of tools for goodness-of-fit validation	2
smoothEM: A new approach for the simultaneous assessment of smooth patterns and spikes	2
Scalable solutions for crossed random-effect models with random slopes	2
Information-theoretic limits for testing community structures in weighted networks	2
Statistical inference on the Hilbert sphere with application to random densities	2
Nonparametric and high-dimensional functional graphical models	2
Spectral norm posterior contraction in Bayesian sparse spiked covariance matrix model	2
Design and analysis of bipartite experiments under a linear exposure-response model	2
Off-the-grid prediction and testing for linear combination of translated features	2
A distance metric-based space-filling subsampling method for nonparametric models	2
Generating knockoffs via conditional independence	2
High-dimensional functional graphical model structure learning via neighborhood selection approach	2
Functional adaptive group lasso with its non-asymptotic bounds	2
Reconstruction of line-embeddings of graphons	2
Nonparametric spatial mode-oriented regression	2
Binary classification with corrupted labels	2
LAMN property for multivariate inhomogeneous diffusions with discrete observations	2
Nonparametric regression for locally stationary functional time series	2
Local false discovery rate based methods for multiple testing of one-way classified hypotheses	2
Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting	2
Tail inference using extreme U-statistics	2
Constructing confidence intervals for the signals in sparse phase retrieval	1
Asymptotic theory for explosive fractional Ornstein-Uhlenbeck processes	1
Concentration inequalities for non-causal random fields	1
Prediction in measurement error models	1
Penalty free variable selection for high-dimensional linear models	1
High-dimensional generalized linear models for Hilbert manifold covariates	1
Testing LRD in the spectral domain for functional time series in manifolds	1
Finite sample theory for high-dimensional functional/scalar time series with applications	1
Erratum to “A discontinuity adjustment for subdistribution function confidence bands applied to right-censored competing risks data”	1
Choosing the right norm for change point detection in functional data	1
Conditional independence testing for discrete distributions: Beyond χ2- and G-tests	1
Monitoring time series with short detection delay	1
Structural mean models for instrumented difference-in-differences	1
Local differential privacy in survival analysis using private failure indicators	1
Sparse linear regression when noises and covariates are heavy-tailed and contaminated by outliers	1
Quantile regression by dyadic CART	1
Statistical inference for normal mixtures with unknown number of components	1
Sensitivity analysis for constructing optimal regimes in the presence of treatment non-compliance and two active treatments	1
Estimation of the global mode of a density: Minimaxity, adaptation, and computational complexity	1
Robust sieve M-estimation with an application to dimensionality reduction	1
Asymptotic normality of robust M-estimators with convex penalty	1
Directional testing for high dimensional multivariate normal distributions	1
The EAS approach to variable selection for multivariate response data in high-dimensional settings	1
Partially linear quantile regression for complex nonlinear component in ultra-high dimension	1
Learning the smoothness of noisy curves with application to online curve estimation	1
An analysis of precision in estimation with the stochastic EM algorithm	1
Multivariate strong invariance principles in Markov chain Monte Carlo	1
Exponential family trend filtering on lattices	1
Subgroup analysis of high dimensional survival data based on penalized fusion and model averaging	1
Modeling sparsity with super heavy-tailed priors	1
Instrumental variable estimation of distributional causal effects	1
Convergence and concentration properties of constant step-size SGD through Markov chains	1
Score-matching representative approach for big data analysis with generalized linear models	1
Efficient change point detection and estimation in high-dimensional correlation matrices	1
Multivariate tie-breaker designs	1
Auxiliary MCMC samplers for parallelisable inference in high-dimensional latent dynamical systems	1
Estimation of tail parameters with missing largest observations	1
Scalable Bayesian computation for crossed and nested hierarchical models	1
Limit theorems for entropic optimal transport maps and Sinkhorn divergence	1
An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a periodized Matérn model	1
Least sum of squares of trimmed residuals regression	1