Journal of Multivariate Analysis
1971 - 2025
Current editor(s): de Leeuw, J. From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 192, issue C, 2022
- Response envelopes for linear coregionalization models

- Paul May, Matthew Biesecker and Hossein Moradi Rekabdarkolaee
- Spatially clustered varying coefficient model

- Fangzheng Lin, Yanlin Tang, Huichen Zhu and Zhongyi Zhu
- Functional linear regression with truncated signatures

- Adeline Fermanian
- Approximate least squares estimators of a two-dimensional chirp model

- Abhinek Shukla, Rhythm Grover, Debasis Kundu and Amit Mitra
- Inference of a time-varying coefficient regression model for multivariate panel count data

- Yuanyuan Guo, Dayu Sun and Jianguo Sun
- Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings

- Daniel Klein, Jolanta Pielaszkiewicz and Katarzyna Filipiak
- Edge statistics of large dimensional deformed rectangular matrices

- Xiucai Ding and Fan Yang
- Non-parametric estimator of a multivariate madogram for missing-data and extreme value framework

- Alexis Boulin, Elena Di Bernardino, Thomas Laloë and Gwladys Toulemonde
- Order selection for regression-based hidden Markov model

- Yiqi Lin and Xinyuan Song
- On the tail behaviour of aggregated random variables

- Jordan Richards and Jonathan A. Tawn
- The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate

- Kyoungjae Lee, Seongil Jo and Jaeyong Lee
- Nonparametric variable screening for multivariate additive models

- Hui Ding, Jian Zhang and Riquan Zhang
- Canonical quantile regression

- Stephen Portnoy
- Estimation of multivariate asymmetric power GARCH models

- Y. Boubacar Maïnassara, O. Kadmiri and B. Saussereau
- Statistical analysis of a hierarchical clustering algorithm with outliers

- Nicolas Klutchnikoff, Audrey Poterie and Laurent Rouvière
- Estimation of functional-coefficient autoregressive models with measurement error

- Pei Geng
- High-dimensional robust approximated M-estimators for mean regression with asymmetric data

- Bin Luo and Xiaoli Gao
- Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation

- Shaofei Zhao and Guifang Fu
- Conditions on which cokriging does not do better than kriging

- Chae Young Lim and Wei-Ying Wu
- Functional delta residuals and applications to simultaneous confidence bands of moment based statistics

- Fabian J.E. Telschow, Samuel Davenport and Armin Schwartzman
- Laplace approximations for hypergeometric functions with Hermitian matrix argument

- Ronald W. Butler and Andrew T.A. Wood
- Sub-dimensional Mardia measures of multivariate skewness and kurtosis

- Joydeep Chowdhury, Subhajit Dutta, Reinaldo B. Arellano-Valle and Marc G. Genton
- Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency

- Donggyu Kim, Xinyu Song and Yazhen Wang
- Estimation of spatial autoregressive models with covariate measurement errors

- Guowang Luo, Mixia Wu and Zhen Pang
- One-way MANOVA for functional data via Lawley–Hotelling trace test

- Tianming Zhu, Jin-Ting Zhang and Ming-Yen Cheng
- Subgroup analysis for high-dimensional functional regression

- Xiaochen Zhang, Qingzhao Zhang, Shuangge Ma and Kuangnan Fang
- Tests of serial dependence for multivariate time series with arbitrary distributions

- Bouchra R. Nasri
Volume 191, issue C, 2022
- Bayesian joint inference for multiple directed acyclic graphs

- Kyoungjae Lee and Xuan Cao
- Estimating multivariate density and its derivatives for mixed measurement error data

- Linruo Guo, Weixing Song and Jianhong Shi
- CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions

- Yangchun Zhang, Jiang Hu and Weiming Li
- Closed-form and bias-corrected estimators for the bivariate gamma distribution

- Jun Zhao, Yu-Hyeong Jang and Hyoung-Moon Kim
- Limiting spectral distribution of large dimensional Spearman’s rank correlation matrices

- Zeyu Wu and Cheng Wang
- On weighted multivariate sign functions

- Subhabrata Majumdar and Snigdhansu Chatterjee
- Online statistical inference for parameters estimation with linear-equality constraints

- Ruiqi Liu, Mingao Yuan and Zuofeng Shang
- Dimension-wise scaled normal mixtures with application to finance and biometry

- Antonio Punzo and Luca Bagnato
- Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path

- Budhi Arta Surya
- Robust estimation in multivariate heteroscedastic regression models with autoregressive covariance structures using EM algorithm

- Yesim Guney, Olcay Arslan and Fulya Gokalp Yavuz
- t-copula from the viewpoint of tail dependence matrices

- Nariankadu D. Shyamalkumar and Siyang Tao
- Fréchet kernel sliced inverse regression

- Yushen Dong and Yichao Wu
- On attainability of Kendall’s tau matrices and concordance signatures

- Alexander J. McNeil, Johanna G. Nešlehová and Andrew D. Smith
- Measures of concordance and testing of independence in multivariate structure

- Wenli Deng, Jinglong Wang and Riquan Zhang
- Density ratio model with data-adaptive basis function

- Archer Gong Zhang and Jiahua Chen
Volume 190, issue C, 2022
- Fast nonasymptotic testing and support recovery for large sparse Toeplitz covariance matrices

- Nayel Bettache, Cristina Butucea and Marianne Sorba
- Some clustering-based exact distribution-free k-sample tests applicable to high dimension, low sample size data

- Biplab Paul, Shyamal K. De and Anil K. Ghosh
- Generalized empirical likelihood for nonsmooth estimating equations with missing data

- Li-E Cui, Puying Zhao and Niansheng Tang
- A generalized Wilcoxon–Mann–Whitney type test for multivariate data through pairwise distance

- Jiamin Liu, Shuangge Ma, Wangli Xu and Liping Zhu
- Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space

- Anna Calissano, Aasa Feragen and Simone Vantini
- A generative approach to modeling data with quantitative and qualitative responses

- Xiaoning Kang, Lulu Kang, Wei Chen and Xinwei Deng
- Transformed mixed-effects modeling of correlated bounded and positive data with a novel multivariate generalized Johnson distribution

- Fahimeh Tourani-Farani and Iraj Kazemi
- Mixture regression for longitudinal data based on joint mean–covariance model

- Jing Yu, Tapio Nummi and Jianxin Pan
- A generalized Mallows model based on ϕ-divergence measures

- Maria Kateri and Nikolay I. Nikolov
- Perturbation theory for cross data matrix-based PCA

- Shao-Hsuan Wang and Su-Yun Huang
- Identifiability and estimation of meta-elliptical copula generators

- A. Derumigny and J.-D. Fermanian
- Linear projections of joint symmetry and independence applied to exact testing treatment effects based on multidimensional outcomes

- Albert Vexler and Li Zou
- Searching for a source of difference in graphical models

- Vera Djordjilović and Monica Chiogna
- Asymptotic properties of high-dimensional spatial median in elliptical distributions with application

- Weiming Li and Yangchang Xu
- Minimax and pointwise sequential changepoint detection and identification for general stochastic models

- Serguei M. Pergamenchtchikov, Alexander G. Tartakovsky and Valentin S. Spivak
- Diagonal nonlinear transformations preserve structure in covariance and precision matrices

- Rebecca Morrison, Ricardo Baptista and Estelle Basor
- Inference in functional linear quantile regression

- Meng Li, Kehui Wang, Arnab Maity and Ana-Maria Staicu
- Quadratic discriminant analysis by projection

- Ruiyang Wu and Ning Hao
- Anisotropic spectral cut-off estimation under multiplicative measurement errors

- Sergio Brenner Miguel
- Distributed estimation in heterogeneous reduced rank regression: With application to order determination in sufficient dimension reduction

- Canyi Chen, Wangli Xu and Liping Zhu
- Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics

- Luke A. Prendergast and Jodie A. Smith
- Targeted principal components regression

- Karl Oskar Ekvall
- Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds

- Corina Ciobotaru and Christian Mazza
- Max-linear models in random environment

- Claudia Klüppelberg and Ercan Sönmez
- GARCH-type factor model

- Yuanbo Li, Chi Tim Ng and Chun Yip Yau
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