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Found 3 papers, 0 papers with code
Tail-adaptive Bayesian shrinkage
In this paper, we propose a robust sparse estimation method under diverse sparsity regimes, which has a tail-adaptive shrinkage property.
Estimation of COVID-19 spread curves integrating global data and borrowing information
In this paper, we propose a Bayesian hierarchical model that integrates global data for real-time prediction of infection trajectory for multiple countries.
Applications Methodology
Directionally Dependent Multi-View Clustering Using Copula Model
Motivated by this, we propose a copula-based multi-view clustering model where a copula enables the model to accommodate the directional dependence existing in the datasets.
