University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Approximate Bayesian computation (ABC) and particle MCMC for calibrating computer models

  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

Approximate Bayesian computation (ABC) and particle MCMC for calibrating computer models

Download to your calendar using vCal

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

EBDW03 - Integrating quantitative social, ecological and mathematical sciences into landscape decision-making

This presentation will describe work conducted under two projects in the Landscape Decisions programme. We will outline the role we believe ABC and particle MCMC can play in calibrating landscape models, describe the current state of software being developed to allow other researchers to easily use these methods, and introduce a new technique called “rare event ABC -SMC^2” for using ABC with high-dimensional data.




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

Ryle Seminar Room Average on weekdays: 9147.45781466 kWh Discussion Room

Other talks

Teams Announced The Play Paradox: How video games build better humans Talk TBC Bigger Picture Talk: Developing future marine engines running on ammonia and other green fuels Title to be confirmed Thelocactus
 

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