Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Sign Up to like & getrecommendations! Published in 2020 at "Statistics and Computing"
DOI: 10.1007/s11222-020-09946-6
Abstract: Spectral embedding of adjacency or Laplacian matrices of undirected graphs is a common technique for representing a network in a lower dimensional latent space, with optimal theoretical guarantees. The embedding can be used to estimate… read more here.
Keywords: dimension; latent dimension; estimation latent; bayesian estimation ... See more keywords
Estimation of the latent therapeutic demand for immunoglobulin therapies in autoimmune neuropathies in the United States.
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DOI: 10.1111/vox.13134
Abstract: BACKGROUND AND OBJECTIVES The use of immunoglobulin (IG) solutions as an immunomodulatory therapy in certain neurological conditions has become an established modality and represents a significant proportion of total IG use. The estimation of the… read more here.
Keywords: demand immunoglobulin; estimation latent; latent therapeutic; therapeutic demand ... See more keywords
Estimation of latent network flows in bike-sharing systems
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DOI: 10.1177/1471082x20971911
Abstract: Estimation of latent network flows is a common problem in statistical network analysis. The typical setting is that we know the margins of the network, that is, in- and outdegrees, but the flows are unobserved.… read more here.
Keywords: network; bike sharing; estimation latent; model ... See more keywords