Data · dataset · 2015
Computational Aspects of Optional Pólya Tree
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Optional Pólya tree (OPT) is a flexible nonparametric Bayesian prior for density estimation.
Description
Despite its merits, the computation for OPT inference is challenging. In this paper we present time complexity analysis for OPT inference and propose two algorithmic improvements.
The first improvement, named limited-lookahead optional Pólya tree (LL-OPT), aims at accelerating the computation for OPT inference. The second improvement modifies the output of OPT or LL-OPT and produces a continuous piecewise linear density estimate. We demonstrate the performance of these two improvements using simulated and real date examples.
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Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Computational_Aspects_of_Optional_P_243_lya_T… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1308554 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/10618600.2014.1002927 doi.org/10.1080/10618600.2014.1002927 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1308554 ↗
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Topics
- Stated by source
- Biological sciences · Mathematics
- From keywords
- Chemistry · Engineering · Life Sciences · Mathematics & Statistics · Research, science and technology policy
Related
- Possibly the same asComputational Aspects of Optional Pólya Tree
Provenance · 1 source records, 14 field assertions
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| DataCite | 10.6084/m9.figshare.1308554 | 15 d ago | JSON v1 |
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