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gplepage · Mar 5, 2024 · 4d924f4 · 4d924f4
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diff --git a/doc/html/.doctrees/environment.pickle b/doc/html/.doctrees/environment.pickle
diff --git a/doc/html/.doctrees/tutorial.doctree b/doc/html/.doctrees/tutorial.doctree
diff --git a/doc/html/_sources/tutorial.rst.txt b/doc/html/_sources/tutorial.rst.txt
@@ -964,7 +964,9 @@ for ``fp``, which confirms that it is not particularly Gaussian:
 The discussion in :ref:`case_curve_fitting` illustrates how 
 |PDFIntegrator| can be used with a non-Gaussian PDF in two
 examples, one with 4 |~| parameters 
-and the other with 22 |~| parameters. 
+and the other with 22 |~| parameters. Also the :mod:`lsqfit`
+Python module uses it in a least-squares fitter :class:`vegas_fit` 
+that uses Bayesian integration (rather than minimization). 
 
 
 Faster Integrands

diff --git a/doc/html/searchindex.js b/doc/html/searchindex.js
diff --git a/doc/html/tutorial.html b/doc/html/tutorial.html
@@ -1117,7 +1117,9 @@ <h2>PDF Integrals<a class="headerlink" href="#pdf-integrals" title="Permalink to
 <p>The discussion in <a class="reference internal" href="outliers.html#case-curve-fitting"><span class="std std-ref">Case Study: Bayesian Curve Fitting</span></a> illustrates how
 <a class="reference internal" href="vegas.html#vegas.PDFIntegrator" title="vegas.PDFIntegrator"><code class="xref py py-class docutils literal notranslate"><span class="pre">vegas.PDFIntegrator</span></code></a> can be used with a non-Gaussian PDF in two
 examples, one with 4   parameters
-and the other with 22   parameters.</p>
+and the other with 22   parameters. Also the <code class="xref py py-mod docutils literal notranslate"><span class="pre">lsqfit</span></code>
+Python module uses it in a least-squares fitter <code class="xref py py-class docutils literal notranslate"><span class="pre">vegas_fit</span></code>
+that uses Bayesian integration (rather than minimization).</p>
 </section>
 <section id="faster-integrands">
 <h2>Faster Integrands<a class="headerlink" href="#faster-integrands" title="Permalink to this heading">¶</a></h2>

diff --git a/doc/source/tutorial.rst b/doc/source/tutorial.rst
@@ -964,7 +964,9 @@ for ``fp``, which confirms that it is not particularly Gaussian:
 The discussion in :ref:`case_curve_fitting` illustrates how 
 |PDFIntegrator| can be used with a non-Gaussian PDF in two
 examples, one with 4 |~| parameters 
-and the other with 22 |~| parameters. 
+and the other with 22 |~| parameters. Also the :mod:`lsqfit`
+Python module uses it in a least-squares fitter :class:`vegas_fit` 
+that uses Bayesian integration (rather than minimization). 
 
 
 Faster Integrands