Multilinear tensor regression for longitudinal relational data
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Publication:902890
DOI10.1214/15-AOAS839zbMath1454.62481arXiv1412.0048WikidataQ31117556 ScholiaQ31117556MaRDI QIDQ902890
Publication date: 4 January 2016
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1412.0048
networkBayesian inferencevector autoregressionTucker productevent dataarray normalinternational relations
Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bayesian inference (62F15)
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Cites Work
- Unnamed Item
- Unnamed Item
- Tensor Decompositions and Applications
- Extending the rank likelihood for semiparametric copula estimation
- Hierarchical multilinear models for multiway data
- A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict
- Linear and nonlinear programming.
- Estimation and testing in general multivariate linear models with Kronecker product covariance structure
- A state-space mixed membership blockmodel for dynamic network tomography
- Discrete temporal models of social networks
- Separable covariance arrays via the Tucker product, with applications to multivariate relational data
- Array Variate Random Variables with Multiway Kro- necker Delta Covariance Matrix Structure
- Nonparametric Bayes dynamic modelling of relational data
- Consequences and Detection of Misspecified Nonlinear Regression Models
- Generalised bilinear regression
- A Multilinear Singular Value Decomposition
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- Maximum Likelihood Estimation of Misspecified Models
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