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Found 5 papers, 0 papers with code
A Latent Space Model for Multilayer Network Data
In this work, we propose a Bayesian statistical model to simultaneously characterize two or more social networks defined over a common set of actors.
Random Partition Models for Microclustering Tasks
Motivated by these issues, we propose a general class of random partition models that satisfy the microclustering property with well-characterized theoretical properties.
Methodology Statistics Theory Statistics Theory
A Practical Approach to Proper Inference with Linked Data
Entity resolution (ER), comprising record linkage and de-duplication, is the process of merging noisy databases in the absence of unique identifiers to remove duplicate entities.
Flexible Models for Microclustering with Application to Entity Resolution
Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points.
Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points.
