bayesComp.Rtex

% $Header: /cvsroot/latex-beamer/latex-beamer/doc/beamercolorthemeexample.tex,v 1.11 2004/10/07 20:53:04 tantau Exp $
\documentclass{beamer}

\usepackage{beamerthemesplit}
\usepackage{graphicx,amsmath,natbib} %,apalike,cite
\usepackage{color}
\usepackage{subfigure}
%\usepackage{graphicx,times,amsmath}

\usetheme{Frankfurt}
\usecolortheme{seahorse}
\usecolortheme{rose}

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\newcommand{\bfbeta} {\boldsymbol{\beta}}
\newcommand{\bfgamma} {\boldsymbol{\gamma}}
\newcommand{\bfdelta} {\boldsymbol{\delta}}
\newcommand{\bfepsilon} {\boldsymbol{\epsilon}}
\newcommand{\bfxi} {\boldsymbol{\xi}}
\newcommand{\bfpi} {\boldsymbol{\pi}}
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\newcommand{\bfsigma} {\boldsymbol{\sigma}}
\newcommand{\bfeta} {\boldsymbol{\eta}}
\newcommand{\bfzeta} {\boldsymbol{\zeta}}
\newcommand{\bfvarphi} {\boldsymbol{\varphi}}
\newcommand{\bflambda} {\boldsymbol{\lambda}}
\newcommand{\bfpsi} {\boldsymbol{\psi}}
\newcommand{\bfphi} {\boldsymbol{\phi}}
\newcommand{\bfvarpsi} {\boldsymbol{\varpsi}}
\newcommand{\bfnu} {\boldsymbol{\nu}}
\newcommand{\bftheta} {\boldsymbol{\theta}}
\newcommand{\bfTheta} {\boldsymbol{\Theta}}
\newcommand{\bfOmega} {\boldsymbol{\Omega}}
\newcommand{\bfSigma} {\boldsymbol{\Sigma}}
\newcommand{\bfLambda} {\boldsymbol{\Lambda}}
\newcommand{\bfchi} {\boldsymbol{\chi}}
\newcommand{\bfvartheta} {\boldsymbol{\vartheta}}

\newcommand{\bfs} {\mathbf{s}}
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\newcommand{\bfx} {\mathbf{x}}
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\renewcommand{\Pr}{\mathsf{Pr}}
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\newcommand{\Var}{\mathsf{Var}}
\newcommand{\Cov}{\mathsf{Cov}}
\newcommand{\Cor}{\mathsf{Cor}}
\newcommand{\reals}{\mathbb{R}}
\newcommand{\naturals}{\mathbb{N}}
\newcommand{\ind}{\mathbb{I}}
\newcommand{\dd}{\mbox{d}}

\DeclareMathOperator{\diag}{diag}
\DeclareMathOperator{\trace}{tr}
\DeclareMathOperator{\argmax}{argmax}
\DeclareMathOperator{\argmin}{argmin}

\newcommand{\normal}{\mathsf{N}}
\newcommand{\DP}{\mathsf{DP}}
\newcommand{\Ber}{\mathsf{Ber}}
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\newcommand{\fix}{{\color{red}FIXME:}}

%% for inline R code: if the inline code is not correctly parsed, you will see a message
\newcommand{\rinline}[1]{SOMETHING WRONG WITH knitr}
%% begin.rcode setup, include=FALSE
% # include any code here you don't want to show up in the document,
% # e.g., package and dataset loading
%
% require(ggplot2)
% set.seed(0)
%
% # also a good place to set global chunk options
%
% library(knitr) # need this for opts_chunk command
% opts_chunk$set(fig.width = 5, fig.height = 5, size = 'scriptsize', child.command = 'include')
% # if we wanted chunks by default not to be evaluated
% # opts_chunk$set(eval = FALSE)  
%
% source('code/utils.R')
% library(methods)
% library(nimble) 
%
% read_chunk('code/nimbleIntro.R')
% read_chunk('code/mh-gumbel.R')
% read_chunk('code/mh-bliss.R')
% read_chunk('code/diagnostics-bliss.R')
% read_chunk('code/gibbs-litters.R')
% read_chunk('code/blocked-litters.R')
% read_chunk('code/mixture-faithful.R')
%% end.rcode

\title{Applied Bayesian Computational Methods}
\author[Abel Rodr\'{\i}guez and Christopher Paciorek]{Abel Rodr\'{\i}guez (UC Santa Cruz)\\Christopher Paciorek (UC Berkeley)}
\date{JSM Baltimore \\ July, 2017}


\begin{document}

\begin{frame}
  \titlepage
\end{frame}


% knitr's syntax for \input when one has child docs with R chunks is a bit clunky...

\frame{
\sffamily
\frametitle{Learning objectives}
\begin{itemize}
\item Understand the landscape of current computational methods for
Bayesian inference; 
\item Understand the statistical and probabilistic principles behind the methods;
\item Understand the various MCMC alternatives and how to assess MCMC performance;
\item Be able to choose a method and software tool for a real-world problem; and
\item Be able to implement Bayesian inference using NIMBLE and Stan.
\end{itemize}
}


%% begin.rcode child='1-bayesIntro.Rtex'
%% end.rcode

%% begin.rcode child='2-nimbleIntro.Rtex'
%% end.rcode

%% begin.rcode child='3-mcmcIntro.Rtex'
%% end.rcode

%% begin.rcode child='4-metropolis.Rtex'
%% end.rcode

%% begin.rcode child='5-diagnostics.Rtex'
%% end.rcode

%% begin.rcode child='6-kernelMixture.Rtex'
%% end.rcode

%% begin.rcode child='7-mcmcStrategies.Rtex'
%% end.rcode

%% begin.rcode child='8-auxiliary.Rtex'
%% end.rcode

%% begin.rcode child='9-adaptive.Rtex'
%% end.rcode

%% begin.rcode child='11-hmc.Rtex'
%% end.rcode

%% begin.rcode child='12-variableSeln.Rtex'
%% end.rcode

%% begin.rcode child='13-revJump.Rtex'
%% end.rcode

%% begin.rcode child='15-impSample.Rtex'
%% end.rcode

%% begin.rcode child='16-smc.Rtex'
%% end.rcode

%% begin.rcode child='17-vb.Rtex'
%% end.rcode

%% begin.rcode child='18-laplace.Rtex'
%% end.rcode

\frame{
\sffamily
\frametitle{Learning objectives}
\begin{itemize}
\item Understand the landscape of current computational methods for
Bayesian inference; 
\item Understand the statistical and probabilistic principles behind the methods;
\item Understand the various MCMC alternatives and how to assess MCMC performance;
\item Be able to choose a method and software tool for a real-world problem; and
\item Be able to implement Bayesian inference using NIMBLE and Stan.
\end{itemize}
}

%\section{References}

{\tiny
\bibliographystyle{bka}
\bibliography{bayesiancomputation}
}

%% begin.rcode child='19-stan.Rtex'
%% end.rcode


\end{document}