:orphan:

Markov Chain Monte Carlo Sampling Examples
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^



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    <div class="sphx-glr-thumbcontainer" tooltip="This notebook illustrates the use of a few diagnostics for .MCMC. The example consists in learn...">

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  .. image:: /auto_examples/sampling/mcmc/images/thumb/sphx_glr_mcmc_diagnostics_thumb.png
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  :ref:`sphx_glr_auto_examples_sampling_mcmc_mcmc_diagnostics.py`

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      <div class="sphx-glr-thumbnail-title">Diagnostics for MCMC methods</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Comparison of various MCMC algorithms">

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  .. image:: /auto_examples/sampling/mcmc/images/thumb/sphx_glr_mcmc_algorithm_comparison_thumb.png
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  :ref:`sphx_glr_auto_examples_sampling_mcmc_mcmc_algorithm_comparison.py`

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      <div class="sphx-glr-thumbnail-title">Comparison of various MCMC algorithms</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="In this example, the Metropolis-Hastings is employed to generate samples from a Rosenbrock dist...">

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  .. image:: /auto_examples/sampling/mcmc/images/thumb/sphx_glr_mcmc_metropolis_hastings_thumb.png
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  :ref:`sphx_glr_auto_examples_sampling_mcmc_mcmc_metropolis_hastings.py`

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      <div class="sphx-glr-thumbnail-title">Sampling Rosenbrock distribution using Metropolis-Hastings</div>
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.. toctree::
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   /auto_examples/sampling/mcmc/mcmc_diagnostics
   /auto_examples/sampling/mcmc/mcmc_algorithm_comparison
   /auto_examples/sampling/mcmc/mcmc_metropolis_hastings


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    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download all examples in Python source code: mcmc_python.zip </auto_examples/sampling/mcmc/mcmc_python.zip>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download all examples in Jupyter notebooks: mcmc_jupyter.zip </auto_examples/sampling/mcmc/mcmc_jupyter.zip>`


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 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_