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 2022-01-01 to 2026-01-01.)
ArticleCitations
Diagnostic checking of periodic vector autoregressive time series models with dependent errors53
Editorial Board31
Editorial Board27
Estimation of spatial autoregressive models with covariate measurement errors26
On properties of fractional posterior in generalized reduced-rank regression25
Testing equality of spectral density operators for functional processes24
Estimation of multivariate asymmetric power GARCH models23
On singular values of large dimensional lag-τ sample auto-correlatio22
Targeted principal components regression22
Nonparametric goodness-of-fit testing for a continuous multivariate parametric model21
Nonparametric testing for the specification of spatial trend functions20
Parametric dependence between random vectors via copula-based divergence measures20
Minimax estimation of the mode of functional data20
Ordinal pattern dependence and multivariate measures of dependence19
Distributed estimation in heterogeneous reduced rank regression: With application to order determination in sufficient dimension reduction19
Partially functional linear quantile regression model and variable selection with censoring indicators MAR19
Exponential bounds for regularized Hotelling’s T2 statistic in high dimension19
The density of the sample correlations under elliptical symmetry with or without the truncated variance-ratio18
Functional delta residuals and applications to simultaneous confidence bands of moment based statistics18
Level set and density estimation on manifolds18
Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds17
Consistency of the objective general index in high-dimensional settings16
Minimaxity under the half-Cauchy prior15
Estimation of multiple networks with common structures in heterogeneous subgroups14
Measuring and testing tail equivalence14
Efficient calibration of computer models with multivariate output13
Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data13
Sparse online regression algorithm with insensitive loss functions13
Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics12
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation12
Test for a general trilinear hypothesis in the generalized growth curve model11
On projection methods for functional time series forecasting11
A uniform kernel trick for high and infinite-dimensional two-sample problems11
A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications11
Parsimonious multivariate structural spatial models with intra-location feedback11
Dimension reduction in multivariate analysis11
Ultra-high dimensional semiparametric dynamic high-order spatial autoregressive models11
The k-sample problem using Gini covariance for large k10
Quadratic discriminant analysis by projection10
On the eigenvectors of large-dimensional sample spatial sign covariance matrices10
Robust Bayesian graphical modeling using γ-divergence9
Properties of CoVaR based on tail expansions of copulas9
Estimators for multivariate allometric regression model9
Editorial Board9
Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity9
Mean and covariance estimation for discretely observed high-dimensional functional data: Rates of convergence and division of observational regimes9
Asymptotic and bootstrap tests for subspace dimension9
Multivariate tail dependence and local stochastic dominance9
Convex comparison of Gaussian mixtures9
Fourier-type tests of mutual independence between functional time series9
Framelet block thresholding estimator for sparse functional data9
Hypothesis testing for mean vector and covariance matrix of multi-populations under a two-step monotone incomplete sample in large sample and dimension9
Tree-structured Markov random fields with Poisson marginal distributions8
Bayesian inference of graph-based dependencies from mixed-type data8
Asymptotic normality of the local linear estimator of the functional expectile regression8
Order selection for regression-based hidden Markov model8
Smoothly adaptively centered ridge estimator8
Editorial Board8
Estimating singular functions of kernel cross-covariance operators: An investigation of the Nyström method8
Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path8
Robust penalized estimators for functional linear regression7
Variable selection in functional regression models: A review7
Finite sample t-tests for high-dimensional means7
Test of conditional independence in factor models via Hilbert–Schmidt independence criterion7
Efficiency of Markov chains for Bayesian linear regression models with heavy-tailed errors7
Robust semi-functional censored regression7
Estimation and order selection for multivariate exponential power mixture models7
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices7
TNN: A transfer learning classifier based on weighted nearest neighbors7
A general approach for testing independence in Hilbert spaces7
Inference for spatial regression models with functional response using a permutational approach7
Perturbation theory for cross data matrix-based PCA7
Factor modeling of multivariate time series: A frequency components approach6
ICS for complex data with application to outlier detection for density data6
An overview on the progeny of the skew-normal family— A personal perspective6
On weighted multivariate sign functions6
Transformed mixed-effects modeling of correlated bounded and positive data with a novel multivariate generalized Johnson distribution6
Editorial Board6
Linearized maximum rank correlation estimation when covariates are functional6
Matrix variate gamma distributions with unrestricted shape parameter6
Semi-functional varying coefficient mode-based regression6
Principal component analysis and clustering on manifolds6
Functional additive expectile regression in the reproducing kernel Hilbert space6
On estimation and order selection for multivariate extremes via clustering6
Editorial Board6
Matrix-valued isotropic covariance functions with local extrema6
An independence test for functional variables based on kernel normalized cross-covariance operator6
A conditional distribution function-based measure for independence and K6
On simultaneous best linear unbiased prediction of future order statistics and associated properties6
Extreme partial least-squares6
Measuring dependence between random vectors via optimal transport6
Tensor Stein-rules in a generalized tensor regression model6
On the Mai–Wang stochastic decomposition for 6
Robust signal recovery in Hadamard spaces6
Financial Risk Meter FRM based on Expectiles6
On the exact region determined by Spearman’s ρ and Blest’s measure6
Projection pursuit via kernel mean embeddings5
A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments5
On testing the equality of latent roots of scatter matrices under ellipticity5
Randomized extrapolation for accelerating EM-type fixed-point algorithms5
Covariance function versus covariance matrix estimation in efficient semi-parametric regression for longitudinal data analysis5
Duality for real and multivariate exponential families5
On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime5
Recent advances in shrinkage-based high-dimensional inference5
Model-based Fréchet regression in (quotient) metric spaces with a focus on elastic curves5
Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation5
Independence tests in the presence of measurement errors: An invariance law5
Shrinkage estimators of BLUE for time series regression models5
Conditional specification of statistical models: Classical models, new developments and challenges5
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data5
High-dimensional nonconvex LASSO-type M-estimators5
Matrix differential calculus with applications in the multivariate linear model and its diagnostics5
Random correlation matrices generated via partial correlation C-vines5
Author Index5
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs5
Hoeffding decomposition of functions of random dependent variables4
Joint graphical lasso with regularized aggregation4
Two-sample test for high-dimensional covariance matrices: A normal-reference approach4
Data driven orthogonal basis selection for functional data analysis4
Composite expectile estimation in partial functional linear regression model4
Asymptotic properties of Dirichlet kernel density estimators4
Integrated shape-sensitive functional metrics4
A short history of statistical association: From correlation to correspondence analysis to copulas4
A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence4
Penalized estimation of hierarchical Archimedean copula4
Generating MCMC proposals by randomly rotating the regular simplex4
Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency4
Matérn and Generalized Wendland correlation models that parameterize hole effect, smoothness, and support4
Moment-type estimators for the Dirichlet and the multivariate gamma distributions4
Explicit bivariate simplicial depth4
On functional data analysis and related topics4
The multirank likelihood for semiparametric canonical correlation analysis4
Limiting spectral distribution of large dimensional Spearman’s rank correlation matrices4
Special Issue on Functional Data Analysis and related fields4
Robust functional inverse regression4
Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings4
An overview of tests on high-dimensional means4
Statistical analysis of multivariate discrete-valued time series4
On a class of finite mixture models that includes hidden Markov models4
Editorial Board4
An approximation to peak detection power using Gaussian random field theory4
Editorial Board4
Editorial Board4
Linear projections of joint symmetry and independence applied to exact testing treatment effects based on multidimensional outcomes4
Asymptotic properties of hierarchical clustering in high-dimensional settings3
Editorial Board3
Monitoring procedures for strict stationarity based on the multivariate characteristic function3
Asymptotics of estimators for structured covariance matrices3
Invariant correlation under marginal transforms3
Sub-dimensional Mardia measures of multivariate skewness and kurtosis3
Maximum likelihood estimation of elliptical tail3
Change point analysis of covariance functions: A weighted cumulative sum approach3
Stochastic representations and probabilistic characteristics of multivariate skew-elliptical distributions3
Region selection in Markov random fields: Gaussian case3
On moments of truncated multivariate normal/independent distributions3
Copula-based conditional tail indices3
On linearization of nonparametric deconvolution estimators for repeated measurements model3
Biclustering analysis of functionals via penalized fusion3
Multivariate α-stable distributions: VAR(1) processes, measures of3
On the usage of joint diagonalization in multivariate statistics3
Finite mixture representations of zero-and- N3
Anomaly detection: A functional analysis perspective3
Moderate deviation principle for likelihood ratio test in multivariate linear regression model3
Editorial Board3
Multivariate mix-GEE models for longitudinal data with multiple outcomes3
A generalized Mallows model based on ϕ-divergence measures3
Principal component analysis of infinite variance functional data3
Optimal designs for prediction of random effects in two-groups models with multivariate response3
Some first inferential tools for spatial regression with differential regularization3
The inner partial least square: An exploration of the “necessary” dimension reduction3
Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables3
Editorial Board3
Robust estimation in multivariate heteroscedastic regression models with autoregressive covariance structures using EM algorithm3
Tests for group-specific heterogeneity in high-dimensional factor models3
Conditional independence testing via weighted partial copulas3
Editorial Board3
A new method to construct high-dimensional copulas with Bernoulli and Coxian-2 distributions3
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges2
Editorial Board2
Covariance parameter estimation of Gaussian processes with approximated functional inputs2
Testing for changes in linear models using weighted residuals2
Data depth functions for non-standard data by use of formal concept analysis2
On attainability of Kendall’s tau matrices and concordance signatures2
Hierarchical Aitchison–Silvey models for incomplete binary sample spaces2
Error analysis for a statistical finite element method2
Reproducible learning in large-scale graphical models2
Enhanced HSIC for independence test via projection integration2
Robust variable selection criteria for the penalized regression2
Maximum spacing estimation for multivariate observations under a general class of information-type measures2
A unified framework of principal component analysis and factor analysis2
Additive regression for Riemannian functional responses2
Gaussian dependence structure pairwise goodness-of-fit testing based on conditional covariance and the 20/60/20 rule2
Partial least squares for simultaneous reduction of response and predictor vectors in regression2
Stochastic hyperplane-based ranks and their use in multivariate portmanteau tests2
Graph-constrained analysis for multivariate functional data2
Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error2
A goodness-of-fit test for the compound Poisson exponential model2
Editorial Board2
Statistical analysis of Markov switching vector autoregression models with endogenous explanatory variables2
Spatially clustered varying coefficient model2
Enhancing spatial functional linear regression with robust dimension reduction methods2
Measures of concordance and testing of independence in multivariate structure2
A generalized Wilcoxon–Mann–Whitney type test for multivariate data through pairwise distance2
Nonparametric spectral methods for multivariate spatial and spatial–temporal data2
Orthogonal decomposition of multivariate densities in Bayes spaces and relation with their copula-based representation2
On nonparametric functional data regression with incomplete observations2
Variable selection in multivariate regression models with measurement error in covariates2
Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”2
Mixed membership Gaussians2
Robust density power divergence based tests in multivariate analysis: A comparative overview of different approaches2
Star products and dimension reduction2
Optimal model averaging for multivariate regression models2
Exact first moments of the RV coefficient by invariant orthogonal integration2
High-dimensional projection-based ANOVA test2
GARCH-type factor model2
Functional linear regression with truncated signatures2
New results for drift estimation in inhomogeneous stochastic differential equations2
Efficient estimation of a partially linear panel data model with cross-sectional dependence2
Projection divergence in the reproducing kernel Hilbert space: Asymptotic normality, block-wise and slicing estimation, and computational efficiency2
Likelihood ratio tests under model misspecification in high dimensions2
Online statistical inference for parameters estimation with linear-equality constraints2
Detection and localization of changes in a panel of densities2
Robust functional principal component analysis for non-Gaussian longitudinal data2
CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions2
An overview of skew distributions in model-based clustering2
Design-free estimation of integrated covariance matrices for high-frequency data2
Understanding asymptotic consistency and its unique advantages in large sample statistical inference2
Large factor model estimation by nuclear norm plus 2
Inference for overparametrized hierarchical Archimedean copulas2
Latent model extreme value index estimation2
Closed-form and bias-corrected estimators for the bivariate gamma distribution2
Tree Pólya Splitting distributions for multivariate count data2
Nonparametric variable screening for multivariate additive models2
Testing distributional equality for functional random variables2
Some aspects of response variable selection and estimation in multivariate linear regression2
Multivariate tests of independence based on a new class of measures of independence in Reproducing Kernel Hilbert Space2
High-dimensional hypothesis testing for allometric extension model2
On convergence and singularity of conditional copulas of multivariate Archimedean copulas, and conditional dependence2
Gaussian copula function-on-scalar regression in reproducing kernel Hilbert space1
Identifying differential networks through high-dimensional two-sample inference1
tSNE-Spec: A new classification method for multivariate time series data1
On the consistency of the jackknife estimator of the asymptotic variance of spatial median1
AUK-based test for mutual independence and an index of mutual dependence1
On heavy-tailed risks under Gaussian copula: The effects of marginal transformation1
A 50-year personal journey through time with principal component analysis1
Multivariate robust linear models for multivariate longitudinal data1
Improved Gaussian mean matrix estimators in high-dimensional data1
Feature extraction for functional time series: Theory and application to NIR spectroscopy data1
Covariance models for multivariate random fields resulting from pseudo cross-variograms1
Subgroup analysis for high-dimensional functional regression1
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