|
|
Bayesian Statistics (Statistical Rethinking)- Dozent/in
- Dr. Alexander Pastukhov
- Angaben
- Seminar
Rein Präsenz
2 SWS
Zeit und Ort: Mo 10:00 - 12:00, M3/-1.13
- Voraussetzungen / Organisatorisches
- Some Bachelor level knowledge R is beneficial, but no prior knowledge beyond high school algebra is required.
For Ba / Ma Psychology only!
- Inhalt
- In this seminar, you build your understanding of (Bayesian) statistics from ground up (we start with a concept of probability as counting). It focuses on a linear model design that underpins all classic statistical test: t-test, ANOVA, rm ANOVA, ANCOVA, MANOVA, Pearson correlation, etc. You will learn about their simple common structure, understand how to design such models by hand (much simpler than you think), and, most importantly how to interpret and evaluate these models (much harder than you think) using causal calculus tools and information criteria.
Learning Goals:
In this seminar, you will learn how to build a statistical model from the ground up with the goal of being able to build a customized model for any statistical problem and analysis. After this course you will understand that a linear regression, a T-test, an ANOVA, or an ANOCOVA all refer to the same simple linear model that you can build yourself. The aim is to make sure that you will know exactly what your analysis does and why you are doing it in this way.
Course Method:
This seminar assumes no prior knowledge on your part. We will start with a basic concept of probability-as-counting and proceed to understanding what statistical models are and how to build them. Over the course of the seminar, we will gradually move forward to more advanced topics learning how to handle various types of data, identify spurious associations, infer causality, evaluate models, or perform power analysis. Forming a book club we will read Statistical Rethinking by Richard McElrath. It is an excellent introductory statistics book that explain even most intimidating topics very clearly, links all seemingly discrepant topics together, and has plenty of examples in R. We will read one chapter every week, practice build models, and discuss the topics and questions during the seminar.
- Empfohlene Literatur
- "Statistical Rethinking: A Bayesian Course with Examples in R and Stan"
by Richard McElreath
https://www.oreilly.com/library/view/statistical-rethinking/9781482253481/
- Englischsprachige Informationen:
- Title:
- Bayesian Statistics
- Credits: 3
- Zusätzliche Informationen
- Schlagwörter: statistics, bayesian statistics
Erwartete Teilnehmerzahl: 12
- Institution: Lehrstuhl für Allgemeine Psychologie und Methodenlehre
Hinweis für Web-Redakteure:
Wenn Sie auf Ihren Webseiten einen Link zu dieser Lehrveranstaltung setzen möchten, verwenden Sie bitte einen der folgenden Links:Link zur eigenständigen Verwendung Link zur Verwendung in Typo3
|
 |
|
|
UnivIS ist ein Produkt der Config eG, Buckenhof |
|
|