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williamjameshandley · Oct 22, 2020 · 1a60474 · 1a60474
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+talk.pdf
+*.aux
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diff --git a/README.md b/README.md
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+# Nested sampling: an efficient and robust Bayesian inference tool for astrophysics and cosmology.
+hour-long seminar given on 21st January 2020 at the University of Oxford, UK
+
+## Abstract
+Nested sampling is an alternative MCMC technique for integrating and exploring probability distributions. With
+publicly available implementations such as MultiNest, PolyChord and dynesty, it has become widely adopted in the field
+of cosmology and astrophysics as a powerful tool for computing Bayesian evidences and sampling challenging a-priori
+unknown parameter spaces.
+
+ In this talk I will give a user's guide to the theory of nested sampling in the context of Bayesian model comparison
+and parameter estimation,
+ a survey of the current state of the art and the future of the field. I will illustrate with examples from
+cosmological and inflationary model comparison, primordial power spectrum reconstruction, 21cm cosmology, exoplanets,
+and tension quantification, as well as recent work in sparse reconstruction, Bayesian Neural Networks and
+likelihood-free inference.
+
+[[PDF](https://github.com/williamjameshandley/talks/raw/oxford_2020/will_handley_oxford_2020.pdf)] 
+
diff --git a/University_of_Cambridge.pdf b/University_of_Cambridge.pdf
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+% Useful packages
+\usepackage{graphicx}
+\usepackage{pgffor}
+
+% Turn off navigation bar
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+
+% Reduce margin size
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+
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+\setbeamertemplate{itemize items}[triangle]
+
+% https://www.cam.ac.uk/brand-resources/guidelines/typography-and-colour/colour-palette
+% https://www.cam.ac.uk/brand-resources/guidelines/typography-and-colour/pantone-pms-and-cmyk-references
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+\setbeamercolor*{structure}{bg=cambblue!15,fg=cambblue}
+\setbeamerfont{frametitle}{series=\bfseries}
+
+
+
+% footline
+\setbeamerfont{footline}{size*={10pt}{10pt}}
+\setbeamertemplate{footline}{%
+    \begin{beamercolorbox}[leftskip=0.2cm,rightskip=0.2cm]{structure}
+        [email protected]
+        \hfill
+        \insertframenumber{} / \inserttotalframenumber{}
+    \end{beamercolorbox}
+}
diff --git a/cavendish.png b/cavendish.png
diff --git a/figures/21cm.pdf b/figures/21cm.pdf
diff --git a/figures/Colored_neural_network.pdf b/figures/Colored_neural_network.pdf
diff --git a/figures/H0.pdf b/figures/H0.pdf
diff --git a/figures/WMAP.png b/figures/WMAP.png
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diff --git a/figures/evidences.pdf b/figures/evidences.pdf
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diff --git a/figures/mackay.jpg b/figures/mackay.jpg
diff --git a/figures/multinest.pdf b/figures/multinest.pdf
diff --git a/figures/nested_sampling.pdf b/figures/nested_sampling.pdf
diff --git a/figures/non_comb_mean_results_colour.pdf b/figures/non_comb_mean_results_colour.pdf
diff --git a/figures/omegak_H0_2.pdf b/figures/omegak_H0_2.pdf
diff --git a/figures/parameters.pdf b/figures/parameters.pdf
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diff --git a/figures/pps.pdf b/figures/pps.pdf
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diff --git a/figures/sivia_skilling.jpg b/figures/sivia_skilling.jpg
diff --git a/figures/supernovae.pdf b/figures/supernovae.pdf
diff --git a/include/beamer_commands.tex b/include/beamer_commands.tex
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+
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+
diff --git a/include/further_reading.tex b/include/further_reading.tex
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+\begin{frame}[label=further_reading]
+    \frametitle{Further reading}
+    \centerline{%
+        \hfill{}
+        \includegraphics[height=0.7\textheight]{./figures/sivia_skilling.jpg}
+        \hfill{}
+        \includegraphics[height=0.7\textheight]{./figures/mackay.jpg}
+        \hfill{}
+    }
+    \begin{itemize}
+        \item Data analysis: A Bayesian Tutorial (Sivia \& Skilling)
+        \item Information Theory, Inference and Learning Algorithms (Mackay)
+    \end{itemize}
+\end{frame}
+
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