July 20, 2018 Software Open Access

Jones, Andrew; Nguyen, Hien Duy; McLachlan, Geoffrey

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  <dc:creator>Jones, Andrew</dc:creator>
  <dc:creator>Nguyen, Hien Duy</dc:creator>
  <dc:creator>McLachlan, Geoffrey</dc:creator>
  <dc:date>2018-07-20</dc:date>
  <dc:description>Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) &lt;arXiv:1804.08365&gt;.</dc:description>
  <dc:identifier>https://zenodo.org/record/1317784</dc:identifier>
  <dc:identifier>10.5281/zenodo.1317784</dc:identifier>
  <dc:identifier>oai:zenodo.org:1317784</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.1317783</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights>
  <dc:subject>Kernel Density Estimation</dc:subject>
  <dc:subject>Statistics</dc:subject>
  <dc:subject>Data Analysis</dc:subject>
  <dc:subject>Modeling</dc:subject>
  <dc:subject>Positive Data</dc:subject>
  <dc:title>logKDE: Computing Log-Transformed Kernel Density Estimates for Positive Data</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>