Pages that link to "Item:Q452625"
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The following pages link to Hierarchical multilinear models for multiway data (Q452625):
Displaying 19 items.
- Latent Space Modeling of Multidimensional Networks with Application to the Exchange of Votes in Eurovision Song Contest (Q145237) (← links)
- Modelling heterogeneity in Latent Space Models for Multidimensional Networks (Q145238) (← links)
- A multi-kernel support tensor machine for classification with multitype multiway data and an application to cross-selling recommendations (Q323495) (← links)
- A combined overdispersed and marginalized multilevel model (Q434987) (← links)
- Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian process based method (Q491403) (← links)
- Multilinear tensor regression for longitudinal relational data (Q902890) (← links)
- A unifying model involving a categorical and/or dimensional reduction for multimode data (Q1020838) (← links)
- Multilinear models: applications in spectroscopy. With comments by Jan de Leeuw, Pieter M. Kroonenberg and Donald S. Burdick and a rejoinder by the authors (Q1596052) (← links)
- Dealing with reciprocity in dynamic stochastic block models (Q1662823) (← links)
- A review of dynamic network models with latent variables (Q1670776) (← links)
- Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and Tucker decompositions (Q1741131) (← links)
- Multigraph representations of hierarchical loglinear models (Q1918460) (← links)
- Additive and multiplicative effects network models (Q2038284) (← links)
- Dynamic interbank network analysis using latent space models (Q2177990) (← links)
- Detecting structural changes in longitudinal network data (Q2297236) (← links)
- Hierarchically nested factor model from multivariate data (Q2903645) (← links)
- Multi-level modelling via stochastic multi-level multiset rewriting (Q4917198) (← links)
- A Probit Tensor Factorization Model For Relational Learning (Q5057094) (← links)
- A latent space model and Hotelling's T<sup>2</sup> control chart to monitor the networks of Covid-19 symptoms (Q6078143) (← links)
