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Last updated:
September 19, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
The ability to quantify the uncertainty in our models of nature is fundamental to many inference problems in Science and Engineering.
In this course, we study advanced methods to represent, sample, update and propagate uncertainty. This is a “hands on” course: Methodology will be coupled with applications. The course will include lectures, invited talks, discussions, reviews and projects and will meet once a week to discuss a method and its applications.
Course Curriculum
- Quantifying Uncertainty Introduction Unlimited
- In A Linear World Unlimited
- Ensemble Filter Smoother Unlimited
- Exponential Family Unlimited
- Expectation Maximization and Model Selection Unlimited
- Markov Chain Monte Carlo Unlimited
- Hierarchical Bayesian Models Unlimited
- Particle Filter Unlimited
- Graphical Models Unlimited
About the instructor
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Massachusetts Institute of Technology
