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Title : 12.S990 Quantifying Uncertainty (MIT)

Title : 12.S990 Quantifying Uncertainty (MIT)

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.

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.

Fromsemester : Fall

Fromsemester : Fall

Fromyear : 2012

Fromyear : 2012

Creator :

Creator :

Date : 2013-06-26T14:00:51+05:00

Date : 2013-06-26T14:00:51+05:00

Relation : 12.S990

Relation : 12.S990

Language : en-US

Language : en-US

Subject : boundary value problems

Subject : boundary value problems

Subject : Polynomial Chaos

Subject : Polynomial Chaos

Subject : Hierarchical Bayes

Subject : Hierarchical Bayes

Subject : Variational Bayes

Subject : Variational Bayes

Subject : Smoothers

Subject : Smoothers

Subject : Dimensionality Reduction

Subject : Dimensionality Reduction

Subject : Sparse Optimization

Subject : Sparse Optimization