Journal of Multivariate Analysis

Papers
(The TQCC of Journal of Multivariate Analysis is 4. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Diagnostic checking of periodic vector autoregressive time series models with dependent errors30
Editorial Board29
Editorial Board27
Testing equality of spectral density operators for functional processes26
Targeted principal components regression25
Nonparametric goodness-of-fit testing for a continuous multivariate parametric model23
Minimax estimation of the mode of functional data21
Editorial Board19
Ordinal pattern dependence and multivariate measures of dependence19
Level set and density estimation on manifolds18
On singular values of large dimensional lag-τ sample auto-correlatio16
Parametric dependence between random vectors via copula-based divergence measures16
A latent factor model for high-dimensional binary data14
Exponential bounds for regularized Hotelling’s T2 statistic in high dimension13
Simultaneous heterogeneity and reduced-rank learning for multivariate response regression13
Partially functional linear quantile regression model and variable selection with censoring indicators MAR13
Low dimensional factor model-based tests for assessing vector correlation in high-dimensional settings12
Distributed estimation in heterogeneous reduced rank regression: With application to order determination in sufficient dimension reduction12
Fréchet k 12
Estimation of multivariate asymmetric power GARCH models11
Estimation of spatial autoregressive models with covariate measurement errors11
The density of the sample correlations under elliptical symmetry with or without the truncated variance-ratio11
On properties of fractional posterior in generalized reduced-rank regression11
Functional delta residuals and applications to simultaneous confidence bands of moment based statistics11
Consistency of the objective general index in high-dimensional settings11
Nonparametric testing for the specification of spatial trend functions11
Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds11
A uniform kernel trick for high and infinite-dimensional two-sample problems11
Measuring and testing tail equivalence10
Ultra-high dimensional semiparametric dynamic high-order spatial autoregressive models10
Sparse online regression algorithm with insensitive loss functions10
Minimaxity under the half-Cauchy prior10
Efficient calibration of computer models with multivariate output9
On projection methods for functional time series forecasting9
A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications9
Parsimonious multivariate structural spatial models with intra-location feedback9
On the eigenvectors of large-dimensional sample spatial sign covariance matrices9
Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data9
Test for a general trilinear hypothesis in the generalized growth curve model9
Estimation of multiple networks with common structures in heterogeneous subgroups8
Robust Bayesian graphical modeling using γ-divergence8
The k-sample problem using Gini covariance for large k8
Quadratic discriminant analysis by projection8
Fourier-type tests of mutual independence between functional time series8
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 regimes8
Asymptotic normality of the local linear estimator of the functional expectile regression7
Framelet block thresholding estimator for sparse functional data7
Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity7
Editorial Board7
Smoothly adaptively centered ridge estimator7
Editorial Board7
Properties of CoVaR based on tail expansions of copulas7
Hypothesis testing for mean vector and covariance matrix of multi-populations under a two-step monotone incomplete sample in large sample and dimension7
Multivariate tail dependence and local stochastic dominance7
Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path7
Convex comparison of Gaussian mixtures7
Robust two-way dimension reduction by Grassmannian barycenter7
Estimators for multivariate allometric regression model7
Bayesian inference of graph-based dependencies from mixed-type data7
Varying-coefficient quantile regression with effect under panel data and missing observation6
Efficiency of Markov chains for Bayesian linear regression models with heavy-tailed errors6
Robust penalized estimators for functional linear regression6
Perturbation theory for cross data matrix-based PCA6
Factor modeling of multivariate time series: A frequency components approach6
Matrix-valued isotropic covariance functions with local extrema6
Robust semi-functional censored regression6
Finite sample t-tests for high-dimensional means6
Nonlinear functional principal component analysis using neural networks6
A general approach for testing independence in Hilbert spaces6
Financial Risk Meter FRM based on Expectiles6
Tree-structured Markov random fields with Poisson marginal distributions6
Estimating singular functions of kernel cross-covariance operators: An investigation of the Nyström method6
TNN: A transfer learning classifier based on weighted nearest neighbors6
Order selection for regression-based hidden Markov model6
Matrix variate gamma distributions with unrestricted shape parameter6
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices6
Tensor Stein-rules in a generalized tensor regression model5
On the exact region determined by Spearman’s ρ and Blest’s measure5
Measuring dependence between random vectors via optimal transport5
On the Mai–Wang stochastic decomposition for 5
A conditional distribution function-based measure for independence and K5
Linearized maximum rank correlation estimation when covariates are functional5
On the use of the Gram matrix for multivariate functional principal components analysis5
Editorial Board5
Robust signal recovery in Hadamard spaces5
Transformed mixed-effects modeling of correlated bounded and positive data with a novel multivariate generalized Johnson distribution5
Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation5
ICS for complex data with application to outlier detection for density data5
Editorial Board5
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs5
Inference for spatial regression models with functional response using a permutational approach5
Randomized extrapolation for accelerating EM-type fixed-point algorithms5
Semi-functional varying coefficient mode-based regression5
Functional additive expectile regression in the reproducing kernel Hilbert space5
On weighted multivariate sign functions5
Extreme partial least-squares5
On testing the equality of latent roots of scatter matrices under ellipticity5
On estimation and order selection for multivariate extremes via clustering5
Estimation and order selection for multivariate exponential power mixture models5
Random correlation matrices generated via partial correlation C-vines5
Test of conditional independence in factor models via Hilbert–Schmidt independence criterion5
An independence test for functional variables based on kernel normalized cross-covariance operator5
Automatic sparse estimation of the high-dimensional cross-covariance matrix5
Model-based Fréchet regression in (quotient) metric spaces with a focus on elastic curves4
Penalized estimation of hierarchical Archimedean copula4
Editorial Board4
Testing and measuring the conditional mean (in)dependence for functional data by martingale difference-angle divergence4
Linear projections of joint symmetry and independence applied to exact testing treatment effects based on multidimensional outcomes4
Integrated shape-sensitive functional metrics4
Editorial Board4
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data4
Projection pursuit via kernel mean embeddings4
Robust functional inverse regression4
The multirank likelihood for semiparametric canonical correlation analysis4
Two-sample test for high-dimensional covariance matrices: A normal-reference approach4
Limiting spectral distribution of large dimensional Spearman’s rank correlation matrices4
Joint graphical lasso with regularized aggregation4
A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence4
Hoeffding decomposition of functions of random dependent variables4
A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments4
Shrinkage estimators of BLUE for time series regression models4
On convergence of regularized covariance estimator based on modified Cholesky decomposition4
Subgroup effect quantile regression with high dimensional missing panel data4
Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings4
On functional data analysis and related topics4
Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency4
Editorial Board4
Special Issue on Functional Data Analysis and related fields4
Generating MCMC proposals by randomly rotating the regular simplex4
High-dimensional nonconvex LASSO-type M-estimators4
On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime4
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