University of Cambridge > Talks.cam > Inference Group > Inference in Bayesian Networks using Dynamic Discretisation

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

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

Inference in Bayesian Networks using Dynamic Discretisation

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Oliver Stegle.

Note unusual time

We present a new approximate inference algorithm for use in hybrid Bayesian Networks (BNs). The algorithm efficiently combines dynamic discretisation with robust propagation algorithms on junction trees structures. Our approach offers a significant extension to Bayesian Network theory and practice by offering a flexible way of modelling continuous nodes in BNs conditioned on complex configurations of evidence and intermixed with discrete nodes as both parents and children of continuous nodes. Our algorithm is implemented in a commercial Bayesian Network software package, AgenaRisk, which allows model construction and testing to be carried out easily.

We show how the rapid convergence of the algorithm towards zones of high probability density, make robust inference analysis possible even in situations where, due to the lack of information in both prior and data, robust sampling becomes infeasible. Generated solutions to realistic modelling problems will be presented and compared with solutions produced using competing techniques such as Monte Carlo Markov Chains (MCMC), Fast Fourier Transforms and others.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Meeting the Challenge of Healthy Ageing in the 21st Century AMOP/TCM Seminar 10th Annual Sustainable Development Lecture Series 2012

Other talks

Disease Migration Filling box flows in porous media Climate Change: Protecting Carbon Sinks Autumn Cactus & Succulent Show Investigation into appropriate statistical models for the analysis and visualisation of data captured in clinical trials using wearable sensors Saving our bumblebees 100 Problems around Scalar Curvature Sneks long balus Cambridge Rare Disease Summit 2017 Coatable photovoltaics (Title t o be confirmed) Development of a Broadly-Neutralising Vaccine against Blood-Stage P. falciparum Malaria
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity