Journal of Multivariate Analysis
1971 - 2025
Current editor(s): de Leeuw, J.
From Elsevier
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Volume 123, issue C, 2014
- Partial marginal likelihood estimation for general transformation models pp. 1-18

- Minggao Gu, Yueqin Wu and Bin Huang
- On bivariate Weibull-Geometric distribution pp. 19-29

- Debasis Kundu and Arjun K. Gupta
- Compound Poisson approximations for symmetric vectors pp. 30-42

- Julius Kruopis and Vydas Čekanavičius
- Nonparametric estimation of multivariate elliptic densities via finite mixture sieves pp. 43-67

- Heather Battey and Oliver Linton
- A ridge regression estimation approach to the measurement error model pp. 68-84

- A.K.Md. Ehsanes Saleh and Shalabh,
- Geometric interpretation of the residual dependence coefficient pp. 85-95

- Natalia Nolde
- Measuring association and dependence between random vectors pp. 96-110

- Oliver Grothe, Julius Schnieders and Johan Segers
- Structure of the random measure associated with an isotropic stationary process pp. 111-128

- Boudou Alain and Viguier-Pla Sylvie
- Marginal regression analysis of clustered failure time data with a cure fraction pp. 129-142

- Yi Niu and Yingwei Peng
- Strength of tail dependence based on conditional tail expectation pp. 143-159

- Lei Hua and Harry Joe
- A nonparametric two-sample test applicable to high dimensional data pp. 160-171

- Munmun Biswas and Anil K. Ghosh
- Parameter estimation for operator scaling random fields pp. 172-183

- C.Y. Lim, M.M. Meerschaert and H.-P. Scheffler
- Consistency of high-dimensional AIC-type and Cp-type criteria in multivariate linear regression pp. 184-200

- Yasunori Fujikoshi, Tetsuro Sakurai and Hirokazu Yanagihara
- On the asymptotic normality of kernel density estimators for causal linear random fields pp. 201-213

- Yizao Wang and Michael Woodroofe
- Deflation-based separation of uncorrelated stationary time series pp. 214-227

- Jari Miettinen, Klaus Nordhausen, Hannu Oja and Sara Taskinen
- Mixtures of skewed Kalman filters pp. 228-251

- Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick and Marc G. Genton
- Local linear–additive estimation for multiple nonparametric regressions pp. 252-269

- Lu Lin, Yunquan Song and Zhao Liu
- Integrative correlation: Properties and relation to canonical correlations pp. 270-280

- Leslie Cope, Daniel Q. Naiman and Giovanni Parmigiani
- Model assisted Cox regression pp. 281-303

- Shoubhik Mondal and Sundarraman Subramanian
- Semiparametric Bayesian information criterion for model selection in ultra-high dimensional additive models pp. 304-310

- Heng Lian
- Transformed goodness-of-fit statistics for a generalized linear model of binary data pp. 311-329

- Nobuhiro Taneichi, Yuri Sekiya and Jun Toyama
- Efficient estimation of semiparametric copula models for bivariate survival data pp. 330-344

- Guang Cheng, Lan Zhou, Xiaohong Chen and Jianhua Z. Huang
- Multi-index regression models with missing covariates at random pp. 345-363

- Xu Guo, Wangli Xu and Lixing Zhu
- A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data pp. 364-379

- Masashi Hyodo and Tatsuya Kubokawa
- Estimation of the covariance matrix in multivariate partially linear models pp. 380-385

- Marcin Przystalski
- A note on the fourth cumulant of a finite mixture distribution pp. 386-394

- Nicola Loperfido
Volume 122, issue C, 2013
- Extreme dependence models based on event magnitude pp. 1-19

- Simone A. Padoan
- Quantile regression analysis of case-cohort data pp. 20-34

- Ming Zheng, Ziqiang Zhao and Wen Yu
- Tests for skewness and kurtosis in the one-way error component model pp. 35-52

- Antonio Galvao, Gabriel Montes-Rojas, Walter Sosa-Escudero and Liang Wang
- Extended matrix variate gamma and beta functions pp. 53-69

- Daya K. Nagar, Alejandro Roldán-Correa and Arjun K. Gupta
- On the exact and approximate distributions of the product of a Wishart matrix with a normal vector pp. 70-81

- Taras Bodnar, Stepan Mazur and Yarema Okhrin
- A nonparametric empirical Bayes approach to adaptive minimax estimation pp. 82-95

- Wenhua Jiang and Cun-Hui Zhang
- Adjusted regularized estimation in the accelerated failure time model with high dimensional covariates pp. 96-114

- Jianwei Hu and Hao Chai
- Variable selection in high-dimensional quantile varying coefficient models pp. 115-132

- Yanlin Tang, Xinyuan Song, Huixia Judy Wang and Zhongyi Zhu
- A frailty model for interaction between multiple events pp. 133-147

- Jack Cuzick and Zihua Yang
- Direction estimation in single-index models via distance covariance pp. 148-161

- Wenhui Sheng and Xiangrong Yin
- Bartlett-type adjustments for hypothesis testing in linear models with general error covariance matrices pp. 162-174

- Masahiro Kojima and Tatsuya Kubokawa
- On the distribution of posterior probabilities in finite mixture models with application in clustering pp. 175-189

- Volodymyr Melnykov
- On extension of some identities for the bias and risk functions in elliptically contoured distributions pp. 190-201

- Sévérien Nkurunziza and Fuqi Chen
- Confidence regions for level sets pp. 202-214

- Enno Mammen and Wolfgang Polonik
- On the limiting distribution of the spatial scan statistic pp. 215-225

- Tonglin Zhang and Ge Lin
- A robust and efficient estimation method for single index models pp. 226-238

- Jicai Liu, Riquan Zhang, Weihua Zhao and Yazhao Lv
- High-dimensional AIC in the growth curve model pp. 239-250

- Yasunori Fujikoshi, Rie Enomoto and Tetsuro Sakurai
- Asymptotic properties of wavelet estimators in semiparametric regression models under dependent errors pp. 251-270

- Xing-cai Zhou and Jin-guan Lin
- Sklar’s theorem derived using probabilistic continuation and two consistency results pp. 271-277

- Olivier P. Faugeras
- Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension pp. 278-291

- Jérôme Dedecker and Bertrand Michel
- On a family of test statistics for discretely observed diffusion processes pp. 292-316

- A. De Gregorio and Stefano Iacus
- Nonparametric estimation of means on Hilbert manifolds and extrinsic analysis of mean shapes of contours pp. 317-333

- Leif Ellingson, Vic Patrangenaru and Frits Ruymgaart
- PCA consistency for the power spiked model in high-dimensional settings pp. 334-354

- Kazuyoshi Yata and Makoto Aoshima
- A note on the variance of the square components of a normal multivariate within a Euclidean ball pp. 355-376

- Filippo Palombi and Simona Toti
- Constrained empirical Bayes estimator and its uncertainty in normal linear mixed models pp. 377-392

- Tatsuya Kubokawa
- Hierarchical Poisson models for spatial count data pp. 393-408

- Victor De Oliveira
- Extremal t processes: Elliptical domain of attraction and a spectral representation pp. 409-413

- T. Opitz