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https://tex.stackexchange.com/questions/548592/changing-all-colors-to-black-white-using-minted-sty +\makeatletter +\newcommand{\minted@style@bw}{% + \renewcommand\fcolorbox[3][]{##3}% + \renewcommand\textcolor[3][]{##3}% + \color{gray} +} +% define new minted option "gray" +\minted@def@opt@switch{gray} +\fvset{formatcom*={% + \ifthenelse{\equal{\minted@get@opt{gray}{true}}{true}} + {\minted@style@bw}{}% +}} +\makeatother +% The following is ajusted from +% https://tex.stackexchange.com/questions/74459/remove-space-before-colorbox +\newcommand{\reducedstrut}{\vrule width 0pt height .9\ht\strutbox depth .9\dp\strutbox\relax} +\newcommand{\highlight}[1]{% + \begingroup + \setlength{\fboxsep}{0pt}% + \colorbox{yellow!30}{\reducedstrut\detokenize{#1}\/}% + \endgroup +} + \usepackage{natbib} \bibliographystyle{apalike} @@ -33,7 +60,7 @@ \setbeamertemplate{headline}[default]{} \setbeamertemplate{footline}[split] % \setbeamertemplate{headline}[text line]{\insertsection} - % \setbeamertemplate{footline}[frame number] + \setbeamertemplate{footline}[frame number] } \pdfinfo{ @@ -815,7 +842,7 @@ \begin{itemize} \item \texttt{projpred} supports also hierarchical models in \texttt{brms}\\ - {\footnotesize Catalina, Bürkner, and Vehtari (2022). Projection predictive inference for generalized linear and additive multilevel models. \textit{Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR} 151:4446–4461. \url{https://proceedings.mlr.press/v151/catalina22a.html}} + {\small Catalina, Bürkner, and Vehtari (2022). Projection predictive inference for generalized linear and additive multilevel models. \textit{Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR} 151:4446–4461. \url{https://proceedings.mlr.press/v151/catalina22a.html}} \end{itemize} \end{frame} @@ -867,18 +894,27 @@ % \end{frame} -\begin{frame}{Intro paper and brms and rstanarm + projpred examples} +\begin{frame}[fragile]{Intro paper and brms and rstanarm + projpred examples} \begin{itemize} -\item {\footnotesize McLatchie, Rögnvaldsson, Weber, and Aki Vehtari (2023). Robust and efficient projection predictive inference. \url{https://arxiv.org/abs/2306.15581}} +\item {\small McLatchie, Rögnvaldsson, Weber, and Aki Vehtari (2024). Advances in projection predictive inference. \emph{Statistical Science}. \url{https://arxiv.org/abs/2306.15581}} \item \url{https://mc-stan.org/projpred/articles/projpred.html} \item \url{https://users.aalto.fi/~ave/casestudies.html} \item Fast and often sufficient if $n\gg p$\\ - {\footnotesize \texttt{varsel <- cv\_varsel(fit, method='forward', cv\_method='loo', validate\_search=FALSE)}} +\begin{minted}[fontsize=\footnotesize]{r} +varsel <- cv_varsel(fit, method='forward', cv_method='loo', + validate_search=FALSE) +\end{minted} \item Slower but needed if not $n\gg p$\\ - {\footnotesize \texttt{varsel <- cv\_varsel(fit, method='forward', cv\_method='kfold, K=10, validate\_search=TRUE)}} +\begin{minted}[fontsize=\footnotesize]{r} +varsel <- cv_varsel(fit, method='forward', cv_method='kfold', K=10, + validate_search=TRUE) +\end{minted} \item If $p$ is very big\\ - {\footnotesize \texttt{varsel <- cv\_varsel(fit, method='L1, cv\_method='kfold, K=5, validate\_search=TRUE)}} +\begin{minted}[fontsize=\footnotesize]{r} +varsel <- cv_varsel(fit, method='L1', cv_method='kfold', K=5, + validate_search=TRUE) +\end{minted} \end{itemize} \end{frame} @@ -906,4 +942,5 @@ %%% Local Variables: %%% mode: latex %%% TeX-master: t +%%% TeX-command-extra-options: "-shell-escape" %%% End: diff --git a/slides/slides_extra.pdf b/slides/slides_extra.pdf index bbd5dd6e6f29b4c036a66d0a7f768ac29c3bdfea..ba9860c95faf6fce4a1c4ee8b84cecde63551049 100644 GIT binary patch delta 76687 zcmb^21yh~fq9tl9KyY_=cMtBa!QDMLB-je>x^NHf?i!rn!CixUaPLL(?cMvF(_PiK z>J~qN$uq|o^X258;pUkk))3Gn6(+jXuO-7D8Ul?)AsNotcXyUqTZR})+6PI{>fqkU zerd68hPwNe<#>b0Syb^(kqF8f%0)Gx+TY1I=QqpI$}1cnK3gRzla5vKZuQwPvIH)S zlM@rv$>-lL?!kx`j3rjP6*Lt*-d-!^qPV-wUwshYRe)JjgM`}%zJ(b$=?w^B=S`{JQrv%B1zRi9z+ z;Bx;)x)*REz=Z|TV;RtTl9cNOY3@fp!m_QP7XPFpoQz^`WfQp~>E4#w8&qG@9mr%U zdXR@*3%sC+UdCAF!U1Zura%Kos?F1US?;`XY&~VAA~n#5jxID9E`RO8l|InH{#&~Ln>=Khr}|+KvLlqx=$OxH#WJ? zZ}v_f%Crd*46}!>Er`Ymcsn}}OMuQAMBJjuBN)TeTejAfJ+H6DeOt)U$o>iYs}nY@ 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a/slides/slides_extra.tex +++ b/slides/slides_extra.tex @@ -36,6 +36,35 @@ \usepackage{eurosym} \usepackage{microtype} +% minted +\usepackage{minted} +\setminted{highlightcolor=yellow!25} +\newmintinline{r}{} +% The following is adjusted from +% https://tex.stackexchange.com/questions/548592/changing-all-colors-to-black-white-using-minted-sty +\makeatletter +\newcommand{\minted@style@bw}{% + \renewcommand\fcolorbox[3][]{##3}% + \renewcommand\textcolor[3][]{##3}% + \color{gray} +} +% define new minted option "gray" +\minted@def@opt@switch{gray} +\fvset{formatcom*={% + \ifthenelse{\equal{\minted@get@opt{gray}{true}}{true}} + {\minted@style@bw}{}% +}} +\makeatother +% The following is ajusted from +% https://tex.stackexchange.com/questions/74459/remove-space-before-colorbox +\newcommand{\reducedstrut}{\vrule width 0pt height .9\ht\strutbox depth .9\dp\strutbox\relax} +\newcommand{\highlight}[1]{% + \begingroup + \setlength{\fboxsep}{0pt}% + \colorbox{yellow!30}{\reducedstrut\detokenize{#1}\/}% + \endgroup +} + \usepackage{natbib} \bibliographystyle{apalike} @@ -325,9 +354,9 @@ \end{itemize} \uncover<3->{\hspace{-1cm}\small \begin{tabular}[t]{ll} - {\tt y $\sim$ 1 + x} & fixed / population effect; pooled model\\ - {\tt y $\sim$ 1 + (0 + x | g) } & random / group effects \\ - {\tt y $\sim$ 1 + x + (1 + x | g) } & mixed effects; hierarchical model + \rinline/y ~ 1 + x/ & fixed / population effect; pooled model\\ + \rinline/y ~ 1 + (0 + x | g)/ & random / group effects \\ + \rinline/y ~ 1 + x + (1 + x | g)/ & mixed effects; hierarchical model \end{tabular} } \vspace{1\baselineskip} @@ -359,9 +388,7 @@ predictor \end{itemize} \uncover<8->{\hspace{-1cm}\small - \begin{tabular}[t]{ll} - {\tt deaths $\sim$ dosage,} & {\tt family = binomial}\\ - \end{tabular} + \rinline/deaths ~ dosage, family = binomial/ \\ } \item<9-> Hierarchical GLM natural extension \item<10-> 16.3 Weakly informative priors section is excellent @@ -511,9 +538,9 @@ variables can be slow (Laplace integration over the latents coming) \item<2-> \texttt{brms}: \begin{itemize} - \item covariance matrix based computation:\\ {\tt y $\sim$ gp(x)} + \item covariance matrix based computation:\\ \rinline/y ~ gp(x)/ \item Hilbert space basis function approximation:\\ - {\tt y $\sim$ gp(x, k=20)} + \rinline/y ~ gp(x, k=20)/ \end{itemize} \end{itemize} @@ -549,6 +576,7 @@ \end{document} %%% Local Variables: -%%% TeX-PDF-mode: t +%%% mode: latex %%% TeX-master: t -%%% End: +%%% TeX-command-extra-options: "-shell-escape" +%%% End: