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Journal of Multivariate Analysis, Volume 174
Volume 174, November 2019
- Prathapasinghe Dharmawansa, Boaz Nadler, Ofer Shwartz:
Roy's largest root under rank-one perturbations: The complex valued case and applications. - Xinfeng Yang, Xiaodong Yan, Jian Huang:
High-dimensional integrative analysis with homogeneity and sparsity recovery. - Julyan Arbel, Marta Crispino, Stéphane Girard:
Dependence properties and Bayesian inference for asymmetric multivariate copulas. - Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh:
Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates. - Zahra Mahdiyeh, Iraj Kazemi:
An innovative strategy on the construction of multivariate multimodal linear mixed-effects models. - Adam Lund, Niels Richard Hansen:
Sparse network estimation for dynamical spatio-temporal array models. - Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan:
Random matrix-improved estimation of covariance matrix distances. - Yichao Chen, Chi Seng Pun:
A bootstrap-based KPSS test for functional time series. - François Bachoc, Moreno Bevilacqua, Daira Velandia:
Composite likelihood estimation for a Gaussian process under fixed domain asymptotics. - Felix Abramovich, Marianna Pensky:
Classification with many classes: Challenges and pluses. - Michael Falk, Simone A. Padoan, Florian Wisheckel:
Generalized Pareto copulas: A key to multivariate extremes. - Marta Cousido-Rocha, Jacobo de Uña-Álvarez, Jeffrey D. Hart:
A two-sample test for the equality of univariate marginal distributions for high-dimensional data. - Serguei Pergamenchtchikov, Alexander G. Tartakovsky:
Asymptotically optimal pointwise and minimax change-point detection for general stochastic models with a composite post-change hypothesis. - Guoliang Fan, Hong-xian Xu, Han-Ying Liang:
Dimension reduction estimation for central mean subspace with missing multivariate response. - Long Yu, Yong He, Xinsheng Zhang:
Robust factor number specification for large-dimensional elliptical factor model.
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