Consistency Analysis for the Doubly Stochastic Dirichlet Process
نویسندگان
چکیده
This technical report proves components consistency for the Doubly Stochastic Dirichlet Process [1] with exponential convergence of posterior probability. We also present the fundamental properties for DSDP as well as inference algorithms. Simulation toy experiment and real-world experiment results for single and multi cluster also support the consistency proof. This report is also a support document for the paper “Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process” [1].
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عنوان ژورنال:
- CoRR
دوره abs/1605.07358 شماره
صفحات -
تاریخ انتشار 2016