Description
Statistical Inference is a branch of Mathematical Engineering that studies ways of extracting reliable information from limited data for learning, prediction, and decision making in the presence of uncertainty. The main goals of this course are:
• Develop statistical thinking and intuitive feel for the subject,
• Introduce the most fundamental ideas, concepts, and methods of Statistical Inference, and
• Explain how and why they work, and when they don’t.
If you do well in the class, you should be able to read (and understand) most contemporary papers that use statistical inference and perform basic statistical analysis yourself.
• Develop statistical thinking and intuitive feel for the subject,
• Introduce the most fundamental ideas, concepts, and methods of Statistical Inference, and
• Explain how and why they work, and when they don’t.
If you do well in the class, you should be able to read (and understand) most contemporary papers that use statistical inference and perform basic statistical analysis yourself.
General Information
| Name | Office Hours | |
|---|---|---|
Kostia Zuev | When? Where? | |
Michelle E Fan | When? Where? | |
Muhammad Younis | When? Where? | |
Natalie Ramirez | When? Where? | |
Bhairav Chidambaram | When? Where? | |
Ishani Karmarkar | When? Where? |