masters-thesis.tex

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% Template adapted from latex-mimosis:
% https://github.com/Pseudomanifold/latex-mimosis
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% Copyright (c) 2022 Antonio Coín
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% This work is licensed under a
% Creative Commons Attribution-ShareAlike 4.0 International License.
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% work. If not, see <http://creativecommons.org/licenses/by-sa/4.0/>.
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\documentclass{mimosis}

% Relative paths
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% Incipit
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\title{\textbf{Bayesian RKHS-based methods in functional regression}}
\author{Antonio Coín Castro}

\begin{document}

\frontmatter
  \include{\thesisPath/title}
  \include{\thesisPath/abstract}

  %\newgeometry{top=1.75cm, bottom=5cm}
  \vspace*{-1.8cm}
  \tableofcontents
  %\restoregeometry

\mainmatter

\include{\thesisPath/introduction}
\include{\thesisPath/background-related-work}
\include{\thesisPath/bayesian-functional-regression}
\include{\thesisPath/model-choice}
\include{\thesisPath/experiments}
\include{\thesisPath/conclusions}

%% Appendices

\appendix

% Adapt formatting for appendices
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\renewcommand*{\chapterformat}{%
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\include{\thesisPath/appendix-code}
\include{\thesisPath/appendix-tables}



% This ensures that the subsequent sections are being included as root
% items in the bookmark structure of your PDF reader.
\bookmarksetup{startatroot}
\backmatter

%% Bibliography
\printbibliography

\begin{center}
\vspace{.25em}
\color{teal}\FourStar
\end{center}

\noindent \textbf{Acknowledgments}
\vspace{.5em}

\begin{small}
\noindent This research has been partially supported by grant PRE2020-095147 of the Spanish Ministry of Science and Innovation (MICINN). We also wish to acknowledge the computational resources provided by the Centro de Computación Científica-Universidad Autónoma de Madrid (CCC-UAM), which were instrumental in performing the experiments in this work.
\end{small}


\end{document}