
Lower Bounds Using Information Theory Tools
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Lower Bounds Using Information Theory Tools
Learn about the principles of utilising information theory tools for deriving lower bounds with this free online course.
Confident you have the skills to certify without completing the course content?
- Enrolled
Positive Ratings
- Avg. Duration1.5-3 Hours (Contains Video)
- Available Languages (1)
English
This course is
CPD-Accredited
Learning Outcomes
In this free course, you will learn how to:
- Outline the concept of the information-theoretic lower bounds
- Describe the procedure for deriving lower bounds for compression problems
- Discuss the relationship between Shannon's source coding and ‘Shannon entropy’
- Explain the process for deriving lower bounds for random number generation
- Identify the methods of deriving minimax lower bound for statistical estimation
- Recognise the significance of empirical mean in deriving a lower bound
- Outline the concept of the minimax estimator
Course Overview
About This Course
Course Description
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