Hybrid Dirichlet mixture models for functional data

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How researchers see this paper

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The Dependent Dirichlet Process and Related Models (2020, methodology): “In Prünster and Ruggiero (2013) this construction is applied to model market shares over time.”
On the stick-breaking representation of normalized inverse Gaussian priors (2012, background): “Important contributions to this area include, among others, [3, 4, 5, 6, 10, 11, 27].”
Functional Data Analysis (2016, methodology): “Dirichlet processes are frequently used as prior for the mixture distributions and also to deal with the uncertainty in the cluster numbers (Angelini, De Canditiis & Pensky 2012; Rodriguez, Dunson & Gelfand 2009; Petrone, Guindani & Gelfand 2009; Heinzl & Tutz 2013).”