The paper provides novel lower bounds connecting L1 distances of mixture densities to discrepancies in mixing measures, leading to first contraction rates for Dirichlet process mixtures with unknown scale.
and Harrison, Matthew T
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
The dysfunctional family Chinese restaurant process (DFCRP) extends the Chinese restaurant process with a new constraint to combine expert crater lists while accounting for identifier information and estimating clustering uncertainty.
Introduces MFM-Wishart for clustering covariance matrices, with posterior consistency theory, MCMC algorithm, simulations, and application to infant brain functional connectivity.
citing papers explorer
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Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models
The paper provides novel lower bounds connecting L1 distances of mixture densities to discrepancies in mixing measures, leading to first contraction rates for Dirichlet process mixtures with unknown scale.
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Clustering Craters on the Moon with Dysfunctional Families
The dysfunctional family Chinese restaurant process (DFCRP) extends the Chinese restaurant process with a new constraint to combine expert crater lists while accounting for identifier information and estimating clustering uncertainty.
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Mixture-of-Finite-Mixtures Wishart Model for Clustering Covariance Matrices with an Application to Brain Functional Connectivity
Introduces MFM-Wishart for clustering covariance matrices, with posterior consistency theory, MCMC algorithm, simulations, and application to infant brain functional connectivity.