University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Bayesian Probabilistic Numerical Methods

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Bayesian Probabilistic Numerical Methods

Download to your calendar using vCal

If you have a question about this talk, please contact INI IT .

UNQW01 - Key UQ methodologies and motivating applications

In this talk, numerical computation – such as numerical solution of a PDE – will be treated as an inverse problem in its own right. The popular Bayesian approach to inversion is considered, wherein a posterior distribution is induced over the object of interest by conditioning a prior distribution on the same finite information that would be used in the classical numerical context. This approach to numerical computation opens the door to application of statistical techniques, and we discuss the relevance of decision theory and probabilistic graphical models in particular detail. The concepts will be briefly illustrated through numerical experiment.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

, Cambridge eScience Centre Webinar & FW11, Computer Laboratory, William Gates Building. Panton Arms, 43 Panton St, Cambridge CB2 1HL

Other talks

Title to be confirmed Feedback and the circumgalactic medium Illegal trade in the North Atlantic Fairy Tales There is no such thing as weather: a historical and cultural geography of weather (and health) TBC
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity