Electronic Journal of Statistics

Article	Citations
Spectrum inference for replicated spatial locally time-harmonizable time series	58
Optimal weighting for linear inverse problems	24
Phase transition in noisy high-dimensional random geometric graphs	23
Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance	22
Pathwise least-squares estimator for linear SPDEs with additive fractional noise	20
Kernel machines with missing covariates	19
Regularized high dimension low tubal-rank tensor regression	19
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
Stochastic online convex optimization. Application to probabilistic time series forecasting	11
Bootstrapping exchangeable random graphs	11
On the notion of polynomial reach: A statistical application	11
Tempered positive Linnik processes and their representations	10
Selective inference for clustering with unknown variance	10
A supervised deep learning method for nonparametric density estimation	9
Testing linear operator constraints in functional response regression with incomplete response functions	8
Nonparametric regression in nonstandard spaces	8
Decompositions of the mean continuous ranked probability score	8
Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions	7
Penalized nonparametric likelihood-based inference for current status data model	7
Long memory of max-stable time series as phase transition: asymptotic behaviour of tail dependence estimators	7
Gaussian random fields on the product of spheres: Theory and applications	7
A general framework for tensor screening through smoothing	7
Efficient density estimation in an AR(1) model	7

Space-time integer-valued ARMA modelling for time series of counts	7
Tail-adaptive Bayesian shrinkage	6
Testing subspace restrictions in the presence of high dimensional nuisance parameters	6
Nonparametric estimation of the incubation time distribution	6
Testing partial conjunction hypotheses under dependency, with applications to meta-analysis	6
Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination	6
Consistency of a range of penalised cost approaches for detecting multiple changepoints	6
Bootstrap adjusted predictive classification for identification of subgroups with differential treatment effects under generalized linear models	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
Rank determination in tensor factor model	5
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression	5
Hoeffding-type decomposition for U-statistics on bipartite networks	5
Resistant convex clustering: How does the fusion penalty enhance resistance?	5
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression	5
On the nonparametric inference of coefficients of self-exciting jump-diffusion	5
Integrated empirical measures and generalizations of classical goodness-of-fit statistics	5
Estimating the proportion of signal variables under arbitrary covariance dependence	5
Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement	5
The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data	5
On mixing rates for Bayesian CART	5
A new framework for Bayesian function registration	5
Simple sufficient condition for inadmissibility of Moran’s single-split test	5
Scalable logistic regression with crossed random effects	5
Road traffic estimation and distribution-based route selection	5
Corrigendum to “Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions”	5
High-frequency volatility estimation and forecasting with a novel Bayesian LGI model	5
Importance sampling-based gradient method for dimension reduction in Poisson log-normal model	5
Likelihood-based inference for exponential-family random graph models via linear programming	5
Adaptive procedures for directional false discovery rate control	5
Computationally efficient inference for latent position network models	4
Multi-label residual weighted learning for individualized combination treatment rule	4
ANOVEX: ANalysis Of Variability for heavy-tailed EXtremes	4
Renewable Huber estimation method for streaming datasets	4
A unified analysis of regression adjustment in randomized experiments	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
A new class of tests for convex-ordered families based on expected order statistics	4
Estimating causal effects with hidden confounding using instrumental variables and environments	4
Mixture of segmentation for heterogeneous functional data	4
Estimation of partially conditional average treatment effect by double kernel-covariate balancing	3
Classification by sparse generalized additive models	3
Multi-sample comparison using spatial signs for infinite dimensional data	3
Location- and scale-free procedures for distinguishing between distribution tail models	3
Nonparametric inference under a monotone hazard ratio order	3
On the choice of the splitting ratio for the split likelihood ratio test	3

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

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