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43 changes: 24 additions & 19 deletions courses/stat544/index.md
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Expand Up @@ -6,27 +6,29 @@ tagline: Bayesian Statistics
{% include JB/setup %}

<img src="http://upload.wikimedia.org/wikipedia/commons/thumb/e/ed/Bayes_icon.svg/200px-Bayes_icon.svg.png" align="right" />
This website is designed to host course material for [STAT 544 - Bayesian Statistics](http://catalog.iastate.edu/showcourse/?code=STAT-544&edition=2015-16) at [Iowa State University](http://www.iastate.edu).
This website is designed to host course material for [STAT 544 - Bayesian Statistics](http://catalog.iastate.edu/showcourse/?code=STAT-544&edition=2023-24) at [Iowa State University](http://www.iastate.edu).

- Instructor: [Jarad Niemi](http://jarad.me) (<[email protected]>, [@jaradniemi](https://twitter.com/jaradniemi))
- TA: [Luis Damiano](https://twitter.com/ldamiano0) (<[email protected]>)

This course meets

- TR 8-9:20 Snedecor 3105
## Textbook

Office hours are
The required textbook for the course is
[Bayesian Data Analysis (3rd edition)](https://a.co/d/11huyhL).

- Instructor: TBD
- TA: TBD
Some other introductory suggestions are linked below and [more advanced texts are here](../stat615/textbook.html):

## Textbook

The required textbook for the course is [Bayesian Data Analysis (3rd edition)](http://www.amazon.com/gp/product/1439840954/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=1439840954&linkCode=as2&tag=jarnieassprod-20&linkId=3HFCNUPX52YW2EVV). [Other suggested textbooks.](textbook.html)
- [Doing Bayesian Data Analysis](https://a.co/d/iPfzD13)
- [A First Course in Bayesian Statistical Methods](https://a.co/d/ibqmX7l)
- [Bayesian Computation with R](https://a.co/d/4N1dXms)
- [The Bayesian Choice](https://a.co/d/boWYMjE)
- [Bayesian Essentials with R](https://a.co/d/9PaiPpP)

## Software

Some links to Bayesian statistical software is provided [here](software.html).
This course will utilize the statistical software
[R](https://www.r-project.org/) and the Bayesian software
[Stan](https://mc-stan.org/).

Some links to other Bayesian statistical software is provided
on the [software page](software.html).

## Relevant course pages

Expand All @@ -43,9 +45,11 @@ Specification of probability models; subjective, conjugate, and noninformative p

## Course Objectives

- Understand the basics of a Bayesian analysis including prior, likelihood, and posterior.
- Perform a conjugate Bayesian analysis with Jeffreys prior.
- Perform a computational Bayesian analysis using JAGS or Stan.
Students passing this course will be able to

- Explain the basics of a Bayesian analysis including prior, likelihood, and posterior.
- Derive a conjugate Bayesian analysis with Jeffreys prior.
- Implement a computational Bayesian analysis using JAGS or Stan.

## Prerequisite

Expand All @@ -59,9 +63,10 @@ Please use the [Canvas](http://canvas.iastate.edu/) discussion forum.

## Reading schedule

See [slides page](slides)
See [slides page](slides).

## Faculty Senate Recommendations

This course abides by the Faculty Senate Recommendations provided at <http://www.celt.iastate.edu/teaching/preparing-to-teach/recommended-iowa-state-university-syllabus-statements>.
This course abides by the
[Center for Excellence in Learning and Teaching recommended syllabi statements](https://www.celt.iastate.edu/instructional-strategies/preparing-to-teach/how-to-create-an-effective-syllabus/recommended-iowa-state-university-syllabus-statements/).

50 changes: 39 additions & 11 deletions courses/stat544/syllabus.tex
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Iowa State University \\
Department of Statistics \\
STAT 544, Bayesian Statistics \\
Spring 2019 \\
Spring 2024 \\
\end{tabular}
} % End \LARGE

Expand All @@ -21,8 +21,8 @@
\begin{tabular}{@{}ll@{\hspace{.2in}}ll}
Instructor: &Jarad Niemi & Office: & Snedecor 2208 \\
Email: &\href{mailto:[email protected]}{\texttt{[email protected]}} & Phone: & 515.294.8679 \\
Course hours: & TR 8:00--9:20 in Snedecor 3105 & Office hours: & R 10-11:50 @ Sned 2208 \\
TA: & Luis Damiano (\href{mailto:ldamiano@iastate.edu}{\texttt{ldamiano@iastate.edu}}) & Office hours: & F 12:10-2 @ Sned 3205 \\
Course hours: & TR 3:40--4:55 in Morrill 1030 & Office hours: & TBD @ Sned 2208 \\
TA: & Zheming ``Jamie'' Cao (\href{mailto:zmcao@iastate.edu}{\texttt{zmcao@iastate.edu}}) & Office hours: & TBD \\
\\
\multicolumn{4}{@{}l}{Course webpage: on Canvas and at \url{http://jarad.me/courses/stat544}} \\
\multicolumn{4}{@{}l}{Textbook:} \\
Expand All @@ -41,34 +41,62 @@ \subsubsection*{Course description}
Specification of probability models; subjective, conjugate, and noninformative prior distributions; hierarchical models; analytical and computational techniques for obtaining posterior distributions; model checking, model selection, diagnostics; comparison of Bayesian and traditional methods.

\subsubsection*{Course objectives}
To be able to
\begin{itemize}
\item Understand the basics of a Bayesian analysis including prior, likelihood, and posterior.
\item Perform a conjugate Bayesian analysis with Jeffreys prior.
\item Perform a computational Bayesian analysis using JAGS or Stan.
\item Explain the basics of a Bayesian analysis including prior, likelihood, and posterior.
\item Derive a conjugate Bayesian analysis with Jeffreys prior.
\item Implement a computational Bayesian analysis using JAGS or Stan.
\end{itemize}

\subsubsection*{Assessment}

Homework ($\sim$ 10): 20\%, Midterm (Mar 7): 40\%, Project (due May 6 @ 4:30 PM): 40\%
\begin{itemize}
\item Homework ($\sim$ 10): 20\%,
\item Midterm (Mar 7): 40\%,
\item Project:
\begin{itemize}
\item Proposal (due Mar 22): 5\%
\item Data description (due Apr 05): 5\%
\item Model proposal (due Apr 19): 5\%
\item Final report (due May 7): 15\%
\end{itemize}
\end{itemize}

\subsubsection*{Reading schedule}

The table below provides a reading schedule for the semester. `M' indicates the midterm and $\vert\vert$ indicates spring break.
The table below provides a reading schedule for the semester from
Bayesian Data Analysis (3rd edition).
`M' indicates the midterm and $\vert\vert$ indicates spring break.

\vspace{0.2in}

\begin{tabular}{|l|cccccccccc||ccccc|}
\begin{tabular}{|l|cccccccc||ccccccc|}
\hline
Week & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \\
\hline
Chapter & 1 & 2 & 3 & 4 & 5 & 6 & 7.4--7.6 & 9.1 & M & 10 & 11 & 14 & 15 & 16 & \\
Chapter & 1 & 2 & 3 & 4 & 5 & 6 & 7.4--7.6 & M & 9.1 & 10 & 11 & 14 & 15 & 16 & \\
% Chapter & 1 & 2 & 3 & 4 & 5 & 6 & 7.4--7.6, 9.1 & 14 & M & 10 & 11 & 12 & 13 & 15 & 16\\
\hline
\end{tabular}

\subsubsection*{Free Expression}

Iowa State University supports and upholds the First Amendment protection of freedom of speech and the principle of academic freedom in order to foster a learning environment where open inquiry and the vigorous debate of a diversity of ideas are encouraged. Students will not be penalized for the content or viewpoints of their speech as long as student expression in a class context is germane to the subject matter of the class and conveyed in an appropriate manner.


\subsubsection*{Faculty Senate Recommendations}

This course abides by the Faculty Senate Recommendations provided at \url{http://www.celt.iastate.edu/teaching/preparing-to-teach/recommended-iowa-state-university-syllabus-statements}.
This course abides by the
\href{https://www.celt.iastate.edu/instructional-strategies/preparing-to-teach/how-to-create-an-effective-syllabus/recommended-iowa-state-university-syllabus-statements/}{Center for Excellence in Teaching and Learning recommended syllabi statements}
including
\begin{itemize}
\item Academic Dishonesty
\item Accessibility Statement
\item Discrimination and Harrassment
\item Mental Health and Well-Being Resources
\item Prep Week
\item Religious Accomodation
\end{itemize}

\end{document}

18 changes: 0 additions & 18 deletions courses/stat544/textbook.md

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