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    <title>PyPI recent updates for nsevt</title>
    <link>https://pypi.org/project/nsevt/</link>
    <description>Recent updates to the Python Package Index for nsevt</description>
    <language>en</language>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/nsevt/1.0.3/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape, endpoint and return levels, grouped scale regression, permutation trend tests, power/MDE, a sequential Monte Carlo precision protocol, finite-sample calibration, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Wed, 26 Aug 2026 10:12:28 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/nsevt/1.0.2/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape, endpoint and return levels, grouped scale regression, permutation trend tests, power/MDE, a sequential Monte Carlo precision protocol, finite-sample calibration, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Tue, 18 Aug 2026 23:54:40 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/nsevt/1.0.1/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape, endpoint and return levels, grouped scale regression, permutation trend tests, power/MDE, a sequential Monte Carlo precision protocol, finite-sample calibration, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Sat, 15 Aug 2026 20:26:27 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/nsevt/1.0.0/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape, endpoint and return levels, grouped scale regression, permutation trend tests, power/MDE, a sequential Monte Carlo precision protocol, finite-sample calibration, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Sat, 15 Aug 2026 15:47:41 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/nsevt/0.4.1/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, a sequential Monte Carlo precision protocol, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Sat, 15 Aug 2026 06:35:40 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/nsevt/0.4.0/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, a sequential Monte Carlo precision protocol, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Sat, 15 Aug 2026 03:06:18 GMT</pubDate>
    </item>    <item>
      <title>0.3.6</title>
      <link>https://pypi.org/project/nsevt/0.3.6/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 21:49:45 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/nsevt/0.3.5/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 18:59:43 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/nsevt/0.3.4/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 17:41:30 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/nsevt/0.3.3/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 17:24:43 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/nsevt/0.3.2/</link>
      <description>Peaks-over-threshold GPD tail inference with continuous and interval-censored (grouped) fits, profile-likelihood intervals for shape and endpoint, permutation trend tests, power/MDE, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 08:38:15 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/nsevt/0.3.1/</link>
      <description>GPD tail inference, block-label permutation trend tests, power analysis, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 07:39:44 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/nsevt/0.3.0/</link>
      <description>GPD tail inference, block-label permutation trend tests, power analysis, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Fri, 14 Aug 2026 05:16:40 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/nsevt/0.2.0/</link>
      <description>GPD tail inference, block-label permutation trend tests, power analysis, and multi-source robustness.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Sun, 09 Aug 2026 20:38:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/nsevt/0.1.0/</link>
      <description>Non-stationary extreme-value tail risk with honest uncertainty: permutation-calibrated trend tests, power/MDE, multi-source transportability, and block-conformal prediction under temporal dependence.</description>
<author>salomon.eli@colpos.mx</author>      <pubDate>Sun, 09 Aug 2026 06:25:49 GMT</pubDate>
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