<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/notes-from-4th-bayesian-mixer-meetup/"></div></div><div><a data-url="https://www.r-bloggers.com/notes-from-4th-bayesian-mixer-meetup/" data-counturl="https://www.r-bloggers.com/notes-from-4th-bayesian-mixer-meetup/" data-count="horizontal" data-text="Notes from 4th Bayesian Mixer Meetup" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://www.magesblog.com/2016/10/notes-from-4th-bayesian-mixer-meetup.html"> mages' blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Last Tuesday we got together for the 4th <a target="_blank" href="http://meetup.com/Bayesian-Mixer-London/">Bayesian Mixer Meetup</a>. <a target="_blank" href="http://www.productmadness.com/">Product Madness</a> kindly hosted us at their offices in Euston Square. About 50 Bayesians came along; the biggest turn up thus far, including developers of <a target="_blank" href="https://github.com/pymc-devs/pymc3">PyMC3</a> (<a target="_blank" href="https://peadarcoyle.wordpress.com/">Peadar Coyle</a>) and <a target="_blank" href="https://www.blogger.com/mc-stan.org">Stan</a> (<a target="_blank" href="http://betanalpha.github.io/">Michael Betancourt</a>).</p>
<p>The agenda had two feature talks by <a target="_blank" href="https://idontgetoutmuch.wordpress.com/about/">Dominic Steinitz</a> and <a target="_blank" href="https://www.linkedin.com/in/volodymyr-kazantsev-3307321">Volodymyr Kazantsev</a> and a lightning talk by <a target="_blank" href="http://blog.applied.ai/author/jonathan-sedar/">Jon Sedar</a>.</p>
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<td><a target="_blank" href="https://i1.wp.com/3.bp.blogspot.com/-dPWq-8GhzyU/V_NA-oMIioI/AAAAAAAACnU/2JCAkpgc3JACanRqggzFxhkCHDh-9WbJQCLcB/s1600/IMG_0658.jpg?ssl=1"><img src="https://i1.wp.com/3.bp.blogspot.com/-dPWq-8GhzyU/V_NA-oMIioI/AAAAAAAACnU/2JCAkpgc3JACanRqggzFxhkCHDh-9WbJQCLcB/s400/IMG_0658.jpg?resize=400%2C274&ssl=1" border="0" data-recalc-dims="1"></a></td>
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<td>Dominic Steinitz: <a target="_blank" href="http://files.meetup.com/19578779/Dominic%20Steinitz%20Hamiltonian%20and%20Sequential%20Monte%20Carlo%20An%20Ecosy.pdf">Hamiltonian and Sequential MC samplers to model ecosystems</a></td>
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<p>Dominic shared with us his experience of using <a target="_blank" href="http://files.meetup.com/19578779/Dominic%20Steinitz%20Hamiltonian%20and%20Sequential%20Monte%20Carlo%20An%20Ecosy.pdf">Hamiltonian and Sequential Monte Carlo samplers to model ecosystems</a>. </p>
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<td><a target="_blank" href="https://i1.wp.com/2.bp.blogspot.com/-LfDkZ51hBZ4/V_NA-pmGXeI/AAAAAAAACnQ/Lkf6PjcQTnEyX6yNe3iMezzGeoxWJeeoQCLcB/s1600/IMG_0660.jpg?ssl=1"><img src="https://i1.wp.com/2.bp.blogspot.com/-LfDkZ51hBZ4/V_NA-pmGXeI/AAAAAAAACnQ/Lkf6PjcQTnEyX6yNe3iMezzGeoxWJeeoQCLcB/s400/IMG_0660.jpg?resize=400%2C301&ssl=1" border="0" data-recalc-dims="1"></a></td>
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<td>Volodymyr Kazantsev: <a target="_blank" href="http://www.slideshare.net/vladimirkazantsev/bayesian-model-averaging">Bayesian Model Averaging</a></td>
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<p>Finding the ‘best’ model was <a target="_blank" href="http://www.slideshare.net/vladimirkazantsev/bayesian-model-averaging">Volodymyr’s challenge</a>. He tried various R packages (<a target="_blank" href="https://cran.r-project.org/package=BMA">BMA</a>, <a target="_blank" href="https://cran.r-project.org/package=BMS">BMS</a> and <a target="_blank" href="https://cran.r-project.org/package=BAS">BAS</a>) for Bayesian model averaging, with various degrees of success. </p>
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<td><a target="_blank" href="https://i0.wp.com/4.bp.blogspot.com/-qbbqlMlwNTU/V_NA-mhQ_II/AAAAAAAACnM/1YdyLPn9hqoglG-565c_TrVErrkJ7OhwgCLcB/s1600/IMG_0661.jpg?ssl=1"><img src="https://i2.wp.com/4.bp.blogspot.com/-qbbqlMlwNTU/V_NA-mhQ_II/AAAAAAAACnM/1YdyLPn9hqoglG-565c_TrVErrkJ7OhwgCLcB/s400/IMG_0661.jpg?resize=400%2C280&ssl=1" border="0" data-recalc-dims="1"></a></td>
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<td>Jon Sedar: <a target="_blank" href="http://blog.applied.ai/easier-plate-notation-in-python-using-daft/">Easier Plate Notation in Python using Daft</a></td>
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<p>Finally, Jon gave a brief overview on <a target="_blank" href="http://blog.applied.ai/easier-plate-notation-in-python-using-daft/">Daft</a>, a nifty Python package for creating graphs, or plate notation.<br>
<h3>Next meeting</h3>
<p>The next <a target="_blank" href="http://www.meetup.com/Bayesian-Mixer-London/events/233887662/">Bayesian Mixer Meetup</a> meeting is already scheduled for 21 October. We will be back at Cass Business School, with two talks:</p>
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<li>Darren Wilkinson: Hierarchical Bayesian Modelling of Growth Curves inc Stochastic Processes</li>
<li>Peadar Coyle: Advanced PyMC3</li>
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<div>This post was originally published on <a target="_blank" href="http://www.magesblog.com/">mages’ blog</a>.</div>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/notes-from-4th-bayesian-mixer-meetup/"></div></div><div><a data-url="https://www.r-bloggers.com/notes-from-4th-bayesian-mixer-meetup/" data-counturl="https://www.r-bloggers.com/notes-from-4th-bayesian-mixer-meetup/" data-count="vertical" data-text="Notes from 4th Bayesian Mixer Meetup" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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