Bayesian mixture modelling offers a probabilistic framework for representing heterogeneity in data by assuming observations arise from a mixture of latent subpopulations, each described by a component ...
The Annals of Statistics, Vol. 48, No. 4 (August 2020), pp. 2277-2302 (26 pages) Motivated by problems in data clustering, we establish general conditions under which families of nonparametric mixture ...
The Stiefel manifold Vp,d is the space of all d × p orthonormal matrices, with the d−1 hypersphere and the space of all orthogonal matrices constituting special cases. In modeling data lying on the ...
Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...
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