Parallel Dirichlet Process Slice Sampler

Version 1.1.0.0 (11.7 KB) by Halid Ziya Yerebakan
Matlab wrapper for Dirichlet Process Slice Sampler
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Updated 16 Feb 2017
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Dirichlet Process is a promising prior for learning non-parametric mixture models. It determines the number of parameters used in the model according to data. In this implementation slice sampler is used to have parallelization. The code is implemented in C++ with avoiding unnecessary memory allocations. Wrapper functions in Matlab and Python allow processing input/output easier.
Check details of the slice sampler : http://www.jmlr.org/proceedings/papers/v37/gea15.pdf

Cite As

Halid Ziya Yerebakan (2026). Parallel Dirichlet Process Slice Sampler (https://github.com/halidziya/DPSlice), GitHub. Retrieved .

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Created with R2016a
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1.1.0.0

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