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{% include JB/setup %} | ||
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<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). | ||
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- Instructor: [Jarad Niemi](http://jarad.me) (<[email protected]>, [@jaradniemi](https://twitter.com/jaradniemi)) | ||
- TA: [Luis Damiano](https://twitter.com/ldamiano0) (<[email protected]>) | ||
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This course meets | ||
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- TR 8-9:20 Snedecor 3105 | ||
## Textbook | ||
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Office hours are | ||
The required textbook for the course is | ||
[Bayesian Data Analysis (3rd edition)](https://a.co/d/11huyhL). | ||
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- Instructor: TBD | ||
- TA: TBD | ||
Some other introductory suggestions are linked below and [more advanced texts are here](../stat615/textbook.html): | ||
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## Textbook | ||
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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) | ||
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## Software | ||
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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/). | ||
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Some links to other Bayesian statistical software is provided | ||
on the [software page](software.html). | ||
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## Relevant course pages | ||
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## Course Objectives | ||
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- 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 | ||
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- 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. | ||
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## Prerequisite | ||
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## Reading schedule | ||
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See [slides page](slides) | ||
See [slides page](slides). | ||
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## Faculty Senate Recommendations | ||
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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/). | ||
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Iowa State University \\ | ||
Department of Statistics \\ | ||
STAT 544, Bayesian Statistics \\ | ||
Spring 2019 \\ | ||
Spring 2024 \\ | ||
\end{tabular} | ||
} % End \LARGE | ||
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\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:} \\ | ||
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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. | ||
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\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} | ||
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\subsubsection*{Assessment} | ||
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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} | ||
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\subsubsection*{Reading schedule} | ||
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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. | ||
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\vspace{0.2in} | ||
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\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} | ||
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\subsubsection*{Free Expression} | ||
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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. | ||
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\subsubsection*{Faculty Senate Recommendations} | ||
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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} | ||
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\end{document} | ||
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