At the end of this class, you will be able to
- From a real-life situation, formulate a statistical problem in mathematical terms
- Understand the role of mathematics in the design and analysis of statistical methods;
- Select appropriate statistical methods for your problem;
- Understand the implications and limitations of various methods .
Text book recommendation: This course does not follow a textbook, but a good reference is All of Statistics: A Concise Course in Statistical Inference, by Larry Wasserman.
What this course is about
- Understand the mathematical underpinning of statistical methods.
- How to give quantitative statements from modeling assumptions.
- Discover mathematical phenomena arising from statistics.
- Develop a framework that allows to give mathematical statements about new models.
What this course is not about
- How to set up a statistical model for complicated real world examples;
- Implement statistical computational routines;
- Learn a lot of different specialized methods.
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