Electronic Journal of Statistics

Article	Citations
Species abundance distribution and species accumulation curve: a general framework and results	71
Regularized high dimension low tubal-rank tensor regression	28
Pathwise least-squares estimator for linear SPDEs with additive fractional noise	25
Phase transition in noisy high-dimensional random geometric graphs	23
Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance	22
Optimal weighting for linear inverse problems	22
Kernel machines with missing covariates	21
Bootstrapping exchangeable random graphs	17
Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models	13
On the notion of polynomial reach: A statistical application	13
Post-selection inference for e-value based confidence intervals	13
Selective inference for clustering with unknown variance	12
Testing linear operator constraints in functional response regression with incomplete response functions	11
Confidence sets in a sparse stochastic block model with two communities of unknown sizes	11
Tempered positive Linnik processes and their representations	10
Adjusting inverse regression for predictors with clustered distribution	10
Spectrum inference for replicated spatial locally time-harmonizable time series	10
Nonparametric regression in nonstandard spaces	9
Stochastic online convex optimization. Application to probabilistic time series forecasting	9
A supervised deep learning method for nonparametric density estimation	9
Decompositions of the mean continuous ranked probability score	8
Efficient density estimation in an AR(1) model	8
Penalized nonparametric likelihood-based inference for current status data model	8
High-dimensional change point detection with missing values	7
Space-time integer-valued ARMA modelling for time series of counts	7

A general framework for tensor screening through smoothing	7
Gaussian random fields on the product of spheres: Theory and applications	7
Consistency of a range of penalised cost approaches for detecting multiple changepoints	7
Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination	7
Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions	7
Transform-scaled process priors for trait allocations in Bayesian nonparametrics	7
Functional estimation of anisotropic covariance and autocovariance operators on the sphere	7
Functional spherical autocorrelation: A robust estimate of the autocorrelation of a functional time series	7
Long memory of max-stable time series as phase transition: asymptotic behaviour of tail dependence estimators	7
Nonparametric estimation of the incubation time distribution	7
Testing subspace restrictions in the presence of high dimensional nuisance parameters	6
Simple sufficient condition for inadmissibility of Moran’s single-split test	6
Tail-adaptive Bayesian shrinkage	6
Bootstrap adjusted predictive classification for identification of subgroups with differential treatment effects under generalized linear models	6
On the nonparametric inference of coefficients of self-exciting jump-diffusion	6
Testing partial conjunction hypotheses under dependency, with applications to meta-analysis	6
A new framework for Bayesian function registration	6
Integrated empirical measures and generalizations of classical goodness-of-fit statistics	6
Adaptive procedures for directional false discovery rate control	5
Road traffic estimation and distribution-based route selection	5
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression	5
The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data	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
Likelihood-based inference for exponential-family random graph models via linear programming	5
Rank determination in tensor factor model	5
Scalable logistic regression with crossed random effects	5
On mixing rates for Bayesian CART	5
Resistant convex clustering: How does the fusion penalty enhance resistance?	5
Nonparametric regression for a circular response with error-in-covariate	5
Unified and robust tests for cross sectional independence in large panel data models	5
Selective inference using randomized group lasso estimators for general models	5
Estimating the proportion of signal variables under arbitrary covariance dependence	5
Importance sampling-based gradient method for dimension reduction in Poisson log-normal model	5
Hoeffding-type decomposition for U-statistics on bipartite networks	5
Corrigendum to “Maximum likelihood estimation in logistic regression models with a diverging number of covariates”	5
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression	5
Mixture of segmentation for heterogeneous functional data	4
Concentration and consistency of sample covariance matrix functionals in sub-Gaussian models	4
Bayesian regression analysis of panel count data under frailty nonhomogeneous Poisson process model with an unknown frailty distribution	4
Computationally efficient inference for latent position network models	4
Estimating causal effects with hidden confounding using instrumental variables and environments	4
Multiple comparison procedures for simultaneous inference in functional MANOVA	4
Sparse and smooth: Improved guarantees for spectral clustering in the dynamic stochastic block model	4
Inference and model selection in general causal time series with exogenous covariates	4
Transportation-based functional ANOVA and PCA for covariance operators	4
ANOVEX: ANalysis Of Variability for heavy-tailed EXtremes	4
A new class of tests for convex-ordered families based on expected order statistics	4
Posterior contraction rates in a sparse non-linear mixed-effects model	4
Multi-label residual weighted learning for individualized combination treatment rule	4

Nonparametric estimation of the expected discounted penalty function in the compound Poisson model	4
Convergence rates of deep ReLU networks for multiclass classification	4
Regression in tensor product spaces by the method of sieves	4
Renewable Huber estimation method for streaming datasets	4
Random forest estimation of conditional distribution functions and conditional quantiles	4
Deep learning for regression analysis of interval-censored data	4
Truncated sum-of-squares estimation of fractional time series models with generalized power law trend	4
A unified analysis of regression adjustment in randomized experiments	4
Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement	4
Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis	4
Multiplicative deconvolution under unknown error distribution	4
On the choice of the splitting ratio for the split likelihood ratio test	4
Nonparametric inference under a monotone hazard ratio order	4
Localization in 1D non-parametric latent space models from pairwise affinities	4
Construction of maximin L1-distance Latin hypercube designs	3
Single-index mixture cure model under monotonicity constraints	3
Location- and scale-free procedures for distinguishing between distribution tail models	3
Revisiting consistency of a recursive estimator of mixing distributions	3
Sufficient variable screening with high-dimensional controls	3
Variable selection for single-index varying-coefficients models with applications to synergistic G × E interactions	3
Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology	3
Classification by sparse generalized additive models	3
FDP control in mass-univariate linear models using the residual bootstrap	3
Deconvolution of repeated measurements corrupted by unknown noise	3
Efficient estimation in tensor Curie-Weiss and Erdős-Rényi Ising models	3
Reproducible parameter inference using bagged posteriors	3
Asymptotic properties of the maximum likelihood estimator for hidden Markov models indexed by binary trees	3
Simultaneous factors selection and fusion of their levels in penalized logistic regression	3
Estimation of partially conditional average treatment effect by double kernel-covariate balancing	3
Dimension independent excess risk by stochastic gradient descent	3
Semi-supervised multiple testing	3
k-sample inference via multimarginal optimal transport	3
A signature-based functional spatial autoregressive model	3
Semi-parametric Bernstein-von Mises theorem in linear inverse problems	3
A note on estimating the dimension from a random geometric graph	3
Benign overfitting of non-sparse high-dimensional linear regression with correlated noise	3
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection	3
Statistical inference for the slope parameter in functional linear regression	3
Multi-sample comparison using spatial signs for infinite dimensional data	3
Multiclass classification for multidimensional functional data through deep neural networks	3
Consistent privacy-preserving inference of group mean difference in large-scale zero-inflated right skewed data with partitioning and censoring	3
Asymptotics of Yule’s nonsense correlation for Ornstein-Uhlenbeck paths: A Wiener chaos approach	3
Automatic structure identification and variable selection for additive accelerated failure time model with ultra high dimensional covariates	3
Testing the simplifying assumption in high-dimensional vine copulas	3
Covariance constraints for stochastic inverse problems of computer models	3
Collective proposal distributions for nonlinear MCMC samplers: Mean-field theory and fast implementation	3
Reweighted nonparametric likelihood inference for linear functionals	3
Motif-based tests for bipartite networks	2
High-dimensional functional graphical model structure learning via neighborhood selection approach	2
Balancing weights for non-monotone missing data	2
Convergence properties of data augmentation algorithms for high-dimensional robit regression	2
Semiparametric empirical likelihood inference with estimating equations under density ratio models	2
Sparse-limit approximation for t-statistics	2
Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes	2
Adaptive nonparametric estimation in the functional linear model with functional output	2
Minimax estimation of partially-observed vector autoregressions	2
Differentially private multivariate statistics with an application to contingency table analysis	2
Reconstruction of line-embeddings of graphons	2
Local Fréchet regression with spherical predictors	2
Empirical Bayes inference in sparse high-dimensional generalized linear models	2
Change-point inference for high-dimensional heteroscedastic data	2
Stacked Grenander and rearrangement estimators of a discrete distribution	2
Optimal function-on-scalar regression over complex domains	2
Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity	2
Concentration study of M-estimators using the influence function	2
Robust estimation for functional logistic regression models	2
Off-the-grid prediction and testing for linear combination of translated features	2
Projection-posterior for variable selection: Weak limit and coverage	2
Unbiased test error estimation in the Poisson means problem via coupled bootstrap techniques	2
General model-free weighted envelope estimation	2
Efficient sampling from the PKBD distribution	2
On the power of conditional independence testing under model-X	2
A new set of tools for goodness-of-fit validation	2
Binary classification with corrupted labels	2
Random permutations generated by delay models and estimation of delay distributions	2
Berry-Esseen bounds of second moment estimators for Gaussian processes observed at high frequency	2
On a multivariate copula-based dependence measure and its estimation	2
Analytical and statistical properties of local depth functions motivated by clustering applications	2
Scalable solutions for crossed random-effect models with random slopes	2
Minimax confidence intervals for the Sliced Wasserstein distance	2

Tail inference using extreme U-statistics	2
A convex approach to optimum design of experiments with correlated observations	2
Direct covariance matrix estimation with compositional data	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
High dimensional regression with many nuisance parameters: Both cases of specified and unspecified parameters of interest	2
Spectral norm posterior contraction in Bayesian sparse spiked covariance matrix model	2
Optimal convergence rates of deep neural networks in a classification setting	2
Online inference in high-dimensional generalized linear models with streaming data	2
Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions	2
Covariate-informed reconstruction of partially observed functional data via factor models	2
Differentially private Kolmogorov-Smirnov-type tests	2
Statistical inference on the Hilbert sphere with application to random densities	2
Local false discovery rate based methods for multiple testing of one-way classified hypotheses	2
Bayesian semiparametric modelling of phase-varying point processes	2
A distance metric-based space-filling subsampling method for nonparametric models	2
Copula-like inference for discrete bivariate distributions with rectangular supports	2
Strong identifiability and parameter learning in regression with heterogeneous response	2
Score function-based tests for ultrahigh-dimensional linear models	2