Journal of Multivariate Analysis

Papers
(The median citation count of Journal of Multivariate Analysis is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Diagnostic checking of periodic vector autoregressive time series models with dependent errors29
Editorial Board23
Editorial Board17
Targeted principal components regression16
Minimax estimation of the mode of functional data14
Nonparametric goodness-of-fit testing for a continuous multivariate parametric model14
Ordinal pattern dependence and multivariate measures of dependence13
Editorial Board13
Parametric dependence between random vectors via copula-based divergence measures12
On singular values of large dimensional lag-τ sample auto-correlatio12
On properties of fractional posterior in generalized reduced-rank regression11
Partially functional linear quantile regression model and variable selection with censoring indicators MAR11
Nonparametric testing for the specification of spatial trend functions11
Distributed estimation in heterogeneous reduced rank regression: With application to order determination in sufficient dimension reduction11
A latent factor model for high-dimensional binary data11
Estimation of spatial autoregressive models with covariate measurement errors11
Fréchet k 11
Low dimensional factor model-based tests for assessing vector correlation in high-dimensional settings10
Exponential bounds for regularized Hotelling’s T2 statistic in high dimension10
Estimation of multivariate asymmetric power GARCH models10
Simultaneous heterogeneity and reduced-rank learning for multivariate response regression10
Minimaxity under the half-Cauchy prior9
A uniform kernel trick for high and infinite-dimensional two-sample problems9
Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds9
Functional delta residuals and applications to simultaneous confidence bands of moment based statistics9
The density of the sample correlations under elliptical symmetry with or without the truncated variance-ratio9
Sparse online regression algorithm with insensitive loss functions8
Quadratic discriminant analysis by projection8
Measuring and testing tail equivalence8
Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data8
Estimation of multiple networks with common structures in heterogeneous subgroups8
Test for a general trilinear hypothesis in the generalized growth curve model8
Ultra-high dimensional semiparametric dynamic high-order spatial autoregressive models8
Efficient calibration of computer models with multivariate output8
Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics8
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation8
Mean and covariance estimation for discretely observed high-dimensional functional data: Rates of convergence and division of observational regimes7
Robust Bayesian graphical modeling using γ-divergence7
Hypothesis testing for mean vector and covariance matrix of multi-populations under a two-step monotone incomplete sample in large sample and dimension7
Estimators for multivariate allometric regression model7
Parsimonious multivariate structural spatial models with intra-location feedback7
Properties of CoVaR based on tail expansions of copulas7
Convex comparison of Gaussian mixtures7
Robust two-way dimension reduction by Grassmannian barycenter7
The k-sample problem using Gini covariance for large k7
On the eigenvectors of large-dimensional sample spatial sign covariance matrices7
Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity7
Nonlinear functional principal component analysis using neural networks6
Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path6
Bayesian inference of graph-based dependencies from mixed-type data6
Robust penalized estimators for functional linear regression6
Order selection for regression-based hidden Markov model6
Editorial Board6
Editorial Board6
TNN: A transfer learning classifier based on weighted nearest neighbors6
Robust semi-functional censored regression6
Asymptotic normality of the local linear estimator of the functional expectile regression6
Multivariate tail dependence and local stochastic dominance6
Estimating singular functions of kernel cross-covariance operators: An investigation of the Nyström method6
Finite sample t-tests for high-dimensional means6
Varying-coefficient quantile regression with effect under panel data and missing observation6
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices5
A conditional distribution function-based measure for independence and K5
On the Mai–Wang stochastic decomposition for 5
Robust signal recovery in Hadamard spaces5
Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation5
On estimation and order selection for multivariate extremes via clustering5
Automatic sparse estimation of the high-dimensional cross-covariance matrix5
A general approach for testing independence in Hilbert spaces5
Tree-structured Markov random fields with Poisson marginal distributions5
Matrix-valued isotropic covariance functions with local extrema5
Editorial Board5
Editorial Board5
Semi-functional varying coefficient mode-based regression5
ICS for complex data with application to outlier detection for density data5
Matrix variate gamma distributions with unrestricted shape parameter5
Test of conditional independence in factor models via Hilbert–Schmidt independence criterion5
On the use of the Gram matrix for multivariate functional principal components analysis5
Perturbation theory for cross data matrix-based PCA5
Efficiency of Markov chains for Bayesian linear regression models with heavy-tailed errors5
Random correlation matrices generated via partial correlation C-vines5
Tensor Stein-rules in a generalized tensor regression model5
On weighted multivariate sign functions5
Transformed mixed-effects modeling of correlated bounded and positive data with a novel multivariate generalized Johnson distribution5
Estimation and order selection for multivariate exponential power mixture models5
Factor modeling of multivariate time series: A frequency components approach5
An independence test for functional variables based on kernel normalized cross-covariance operator4
Projection pursuit via kernel mean embeddings4
High-dimensional nonconvex LASSO-type M-estimators4
On testing the equality of latent roots of scatter matrices under ellipticity4
Subgroup effect quantile regression with high dimensional missing panel data4
Extreme partial least-squares4
Linearized maximum rank correlation estimation when covariates are functional4
On convergence of regularized covariance estimator based on modified Cholesky decomposition4
Model-based Fréchet regression in (quotient) metric spaces with a focus on elastic curves4
A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments4
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs4
Functional additive expectile regression in the reproducing kernel Hilbert space4
Shrinkage estimators of BLUE for time series regression models4
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data4
On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime4
Editorial Board4
Generating MCMC proposals by randomly rotating the regular simplex4
On the exact region determined by Spearman’s ρ and Blest’s measure4
Randomized extrapolation for accelerating EM-type fixed-point algorithms4
Penalized estimation of hierarchical Archimedean copula3
Testing and measuring the conditional mean (in)dependence for functional data by martingale difference-angle divergence3
Matérn and Generalized Wendland correlation models that parameterize hole effect, smoothness, and support3
Maximum likelihood estimation of elliptical tail3
Conditional independence testing via weighted partial copulas3
A variance-corrected U-statistic approach for comparing covariance matrices of high-dimensional mixtures3
Editorial Board3
Asymptotic properties of hierarchical clustering in high-dimensional settings3
On a class of finite mixture models that includes hidden Markov models3
Limiting spectral distribution of large dimensional Spearman’s rank correlation matrices3
Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency3
Linear projections of joint symmetry and independence applied to exact testing treatment effects based on multidimensional outcomes3
Robust functional inverse regression3
An approximation to peak detection power using Gaussian random field theory3
Principal component analysis of infinite variance functional data3
Copula-based conditional tail indices3
A new method to construct high-dimensional copulas with Bernoulli and Coxian-2 distributions3
Moderate deviation principle for likelihood ratio test in multivariate linear regression model3
Editorial Board3
A generalized Mallows model based on ϕ-divergence measures3
Explicit bivariate simplicial depth3
Bounds and identification on direct and indirect effects under partially observed mediator-endpoint confounders3
Joint graphical lasso with regularized aggregation3
A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence3
Two-sample test for high-dimensional covariance matrices: A normal-reference approach3
Moment-type estimators for the Dirichlet and the multivariate gamma distributions3
The multirank likelihood for semiparametric canonical correlation analysis3
Optimal designs for prediction of random effects in two-groups models with multivariate response3
Stochastic representations and probabilistic characteristics of multivariate skew-elliptical distributions3
On moments of truncated multivariate normal/independent distributions3
Editorial Board3
Composite expectile estimation in partial functional linear regression model3
Region selection in Markov random fields: Gaussian case3
Editorial Board3
Multivariate mix-GEE models for longitudinal data with multiple outcomes3
Hoeffding decomposition of functions of random dependent variables3
Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings3
On attainability of Kendall’s tau matrices and concordance signatures2
Functional linear regression with truncated signatures2
Spatially clustered varying coefficient model2
A goodness-of-fit test for the compound Poisson exponential model2
Projection divergence in the reproducing kernel Hilbert space: Asymptotic normality, block-wise and slicing estimation, and computational efficiency2
Partial least squares for simultaneous reduction of response and predictor vectors in regression2
Large factor model estimation by nuclear norm plus 2
A generalized Wilcoxon–Mann–Whitney type test for multivariate data through pairwise distance2
Detection and localization of changes in a panel of densities2
Covariance parameter estimation of Gaussian processes with approximated functional inputs2
Jump detection in single-index models with measurement error2
Type I multivariate Pólya-Aeppli distributions with applications2
Finite mixture representations of zero-and- N2
Inference for overparametrized hierarchical Archimedean copulas2
Asymptotics of estimators for structured covariance matrices2
Additive regression for Riemannian functional responses2
The inner partial least square: An exploration of the “necessary” dimension reduction2
Gaussian dependence structure pairwise goodness-of-fit testing based on conditional covariance and the 20/60/20 rule2
Efficient estimation of a partially linear panel data model with cross-sectional dependence2
New results for drift estimation in inhomogeneous stochastic differential equations2
Variable selection in multivariate regression models with measurement error in covariates2
Statistical guarantees for distribution estimation of contaminated data via DNN-based MoM-GANs2
Recent advances in principal component analysis for directional data2
Robust variable selection criteria for the penalized regression2
Testing for changes in linear models using weighted residuals2
A method for sparse and robust independent component analysis2
On convergence and singularity of conditional copulas of multivariate Archimedean copulas, and conditional dependence2
Graph-constrained analysis for multivariate functional data2
Nonparametric estimation from correlated copies of a drifted process2
Rank-based combination independence tests for high-dimensional data2
Closed-form and bias-corrected estimators for the bivariate gamma distribution2
Invariant correlation under marginal transforms2
Editorial Board2
Enhancing spatial functional linear regression with robust dimension reduction methods2
High-dimensional projection-based ANOVA test2
Editorial Board2
Orthogonal decomposition of multivariate densities in Bayes spaces and relation with their copula-based representation2
Tests for group-specific heterogeneity in high-dimensional factor models2
Testing distributional equality for functional random variables2
Nonparametric variable screening for multivariate additive models2
High-dimensional hypothesis testing for allometric extension model2
Online statistical inference for parameters estimation with linear-equality constraints2
Measures of concordance and testing of independence in multivariate structure2
Statistical analysis of Markov switching vector autoregression models with endogenous explanatory variables2
Exact first moments of the RV coefficient by invariant orthogonal integration2
Likelihood ratio tests under model misspecification in high dimensions2
Maximum spacing estimation for multivariate observations under a general class of information-type measures2
Density and graph estimation with smoothing splines and conditional Gaussian graphical models2
CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions2
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges2
Parametric convergence rate of a non-parametric estimator in multivariate mixtures of power series distributions under conditional independence2
Multivariate α-stable distributions: VAR(1) processes, measures of2
Robust estimation in multivariate heteroscedastic regression models with autoregressive covariance structures using EM algorithm2
Editorial Board2
Data depth functions for non-standard data by use of formal concept analysis2
Mixed membership Gaussians2
A robust mixed functional classifier with adaptive large margin loss2
Multivariate tests of independence based on a new class of measures of independence in Reproducing Kernel Hilbert Space2
Sub-dimensional Mardia measures of multivariate skewness and kurtosis2
GARCH-type factor model2
Bayesian analysis of nonlinear structured latent factor models with a Gaussian process prior2
A unified framework of principal component analysis and factor analysis1
Quantifying directed dependence via dimension reduction1
On the consistency of the jackknife estimator of the asymptotic variance of spatial median1
Subgroup analysis for high-dimensional functional regression1
Identifying differential networks through high-dimensional two-sample inference1
Fisher’s pioneering work on discriminant analysis and its impact on Artificial Intelligence1
Bivariate covariance functions of Pólya type1
High-dimensional robust approximated M-estimators for mean regression1
The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate1
Editorial Board1
Nonlinear sufficient dimension reduction for distribution-on-distribution regression1
A componentwise estimation procedure for multivariate location and scatter: Robustness, efficiency and scalability1
Semiparametric estimation of the high-dimensional elliptical distribution1
Max-linear models in random environment1
Latent model extreme value index estimation1
Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error1
Simultaneous variable selection and estimation of multivariate panel count data1
Distance correlation in the presence of measurement errors1
High-dimensional factor copula models with estimation of latent variables1
On heavy-tailed risks under Gaussian copula: The effects of marginal transformation1
The mean tests with high dimensional data1
Testing multivariate normality for two-level structural equation models1
A class of smooth, possibly data-adaptive nonparametric copula estimators containing the empirical beta copula1
On skewed Gaussian graphical models1
Dimension reduction for outlier detection in high-dimensional data1
Exact mean and covariance formulas after diagonal transformations of a multivariate normal1
Tree Pólya Splitting distributions for multivariate count data1
Geometric scale mixtures of normal distributions1
Editorial Board1
Robust factor analysis with exponential squared loss1
Distributed estimation of spiked eigenvalues in spiked population models1
Star products and dimension reduction1
Positive-definite thresholding estimators of covariance matrices with zeros1
Recovery of partly sparse and dense signals1
Multivariate robust linear models for multivariate longitudinal data1
tSNE-Spec: A new classification method for multivariate time series data1
Covariance models for multivariate random fields resulting from pseudo cross-variograms1
Searching for a source of difference in graphical models1
Max-convolution processes with random shape indicator kernels1
Set-valued expectiles for ordered data analysis1
On nonparametric functional data regression with incomplete observations1
On extreme quantile region estimation under heavy-tailed elliptical distributions1
Understanding asymptotic consistency and its unique advantages in large sample statistical inference1
A flexible Clayton-like spatial copula with application to bounded support data1
Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”1
Editorial Board1
Stochastic hyperplane-based ranks and their use in multivariate portmanteau tests1
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