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 2021-05-01 to 2025-05-01.)
ArticleCitations
Level set and density estimation on manifolds44
Estimation of multivariate asymmetric power GARCH models33
Minimax estimation of the mode of functional data24
Nonparametric testing for the specification of spatial trend functions22
Editorial Board21
Parametric dependence between random vectors via copula-based divergence measures21
Nonparametric goodness-of-fit testing for a continuous multivariate parametric model21
Editorial Board20
Testing equality of spectral density operators for functional processes19
Exponential bounds for regularized Hotelling’s T2 statistic in high dimension18
Targeted principal components regression18
On singular values of large dimensional lag-τ sample auto-correlatio17
Distributed estimation in heterogeneous reduced rank regression: With application to order determination in sufficient dimension reduction16
Partially functional linear quantile regression model and variable selection with censoring indicators MAR15
Estimation of spatial autoregressive models with covariate measurement errors15
Diagnostic checking of periodic vector autoregressive time series models with dependent errors15
Ordinal pattern dependence and multivariate measures of dependence15
Principal loading analysis14
The density of the sample correlations under elliptical symmetry with or without the truncated variance-ratio14
On projection methods for functional time series forecasting13
Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics13
On the eigenvectors of large-dimensional sample spatial sign covariance matrices13
Quadratic discriminant analysis by projection13
A uniform kernel trick for high and infinite-dimensional two-sample problems12
Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data12
Sparse online regression algorithm with insensitive loss functions12
Consistency of the objective general index in high-dimensional settings11
Functional delta residuals and applications to simultaneous confidence bands of moment based statistics11
Efficient calibration of computer models with multivariate output11
Estimation of multiple networks with common structures in heterogeneous subgroups11
Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds10
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation9
Mean and covariance estimation for discretely observed high-dimensional functional data: Rates of convergence and division of observational regimes9
Fourier-type tests of mutual independence between functional time series9
Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity9
Kernel density estimation for partial linear multivariate responses models9
A semiparametric latent factor model for large scale temporal data with heteroscedasticity9
A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications9
Hypothesis testing for mean vector and covariance matrix of multi-populations under a two-step monotone incomplete sample in large sample and dimension9
Asymptotic and bootstrap tests for subspace dimension9
Smoothly adaptively centered ridge estimator8
Editorial Board8
Multivariate tail dependence and local stochastic dominance8
Tree-structured Markov random fields with Poisson marginal distributions8
Shrinkage estimation with singular priors and an application to small area estimation8
Framelet block thresholding estimator for sparse functional data8
Bayesian inference of graph-based dependencies from mixed-type data8
Heterogeneous hypergeometric functions with two matrix arguments and the exact distribution of the largest eigenvalue of a singular beta-Wishart matrix8
On exploratory analytic method for multi-way contingency tables with an ordinal response variable and categorical explanatory variables7
Order selection for regression-based hidden Markov model7
TNN: A transfer learning classifier based on weighted nearest neighbors7
Variable selection in functional regression models: A review7
A general approach for testing independence in Hilbert spaces7
Inference for spatial regression models with functional response using a permutational approach7
Editorial Board7
Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path7
Locally isometric embeddings of quotients of the rotation group modulo finite symmetries7
Factor modeling of multivariate time series: A frequency components approach7
Estimation and order selection for multivariate exponential power mixture models7
Asymptotic normality of the local linear estimator of the functional expectile regression7
Robust penalized estimators for functional linear regression7
Finite sample t-tests for high-dimensional means7
Testing the equality of a large number of means of functional data7
Matrix-valued isotropic covariance functions with local extrema7
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices7
Editorial Board6
Duality for real and multivariate exponential families6
Test of conditional independence in factor models via Hilbert–Schmidt independence criterion6
An overview on the progeny of the skew-normal family— A personal perspective6
Measuring dependence between random vectors via optimal transport6
Principal component analysis and clustering on manifolds6
Editorial Board6
On simultaneous best linear unbiased prediction of future order statistics and associated properties6
Financial Risk Meter FRM based on Expectiles6
Perturbation theory for cross data matrix-based PCA6
On the Mai–Wang stochastic decomposition for 6
A new general class of RC association models: Estimation and main properties6
Semiparametric method and theory for continuously indexed spatio-temporal processes6
A conditional distribution function-based measure for independence and K6
Semi-functional varying coefficient mode-based regression6
On weighted multivariate sign functions6
Functional additive expectile regression in the reproducing kernel Hilbert space5
An independence test for functional variables based on kernel normalized cross-covariance operator5
Independence tests in the presence of measurement errors: An invariance law5
On the exact region determined by Spearman’s ρ and Blest’s measure5
Matrix differential calculus with applications in the multivariate linear model and its diagnostics5
Covariance function versus covariance matrix estimation in efficient semi-parametric regression for longitudinal data analysis5
Estimation of canonical correlation directions: From Gaussian to sub-Gaussian population5
Bayesian multivariate quantile regression using Dependent Dirichlet Process prior5
Discussion about inaccuracy measure in information theory using co-copula and copula dual functions5
Linearized maximum rank correlation estimation when covariates are functional5
Tensor Stein-rules in a generalized tensor regression model5
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs5
Transformed mixed-effects modeling of correlated bounded and positive data with a novel multivariate generalized Johnson distribution5
Extreme partial least-squares5
Randomized extrapolation for accelerating EM-type fixed-point algorithms5
Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation5
Author Index5
Reconstruction of atomic measures from their halfspace depth4
Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency4
Two-sample test for high-dimensional covariance matrices: A normal-reference approach4
Generating MCMC proposals by randomly rotating the regular simplex4
Penalized estimation of hierarchical Archimedean copula4
Shrinkage estimation of large covariance matrices: Keep it simple, statistician?4
Conditional specification of statistical models: Classical models, new developments and challenges4
High-dimensional nonconvex LASSO-type M-estimators4
Special Issue on Functional Data Analysis and related fields4
Joint mean–covariance estimation via the horseshoe4
Asymptotic properties of Dirichlet kernel density estimators4
Editorial Board4
A geometric investigation into the tail dependence of vine copulas4
On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime4
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data4
A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments4
Editorial Board4
Stochastic decomposition for p4
Linear projections of joint symmetry and independence applied to exact testing treatment effects based on multidimensional outcomes4
Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings4
Editorial Board4
Editorial Board4
Shrinkage estimators of BLUE for time series regression models4
On testing the equality of latent roots of scatter matrices under ellipticity4
Recent advances in shrinkage-based high-dimensional inference4
A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence4
An overview of tests on high-dimensional means4
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