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    <title>PyPI recent updates for insurance-credibility</title>
    <link>https://pypi.org/project/insurance-credibility/</link>
    <description>Recent updates to the Python Package Index for insurance-credibility</description>
    <language>en</language>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/insurance-credibility/0.2.0/</link>
      <description>Credibility models for UK non-life insurance pricing: Bühlmann-Straub, Bayesian experience rating, and hierarchical GLM credibility for personal and commercial lines.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 17:37:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.9/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 12:33:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.8/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Wed, 01 Apr 2026 07:53:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.7/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Wed, 25 Mar 2026 03:57:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.6/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sun, 22 Mar 2026 19:34:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.4/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 13:11:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.3/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 12:41:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.2/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sun, 15 Mar 2026 04:24:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.1/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sat, 14 Mar 2026 06:39:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/insurance-credibility/0.1.0/</link>
      <description>Credibility models for UK non-life insurance pricing: classical Bühlmann-Straub and individual-policy Bayesian experience rating</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sat, 14 Mar 2026 03:51:57 GMT</pubDate>
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