Using Bayesian networks to predict op risk


By combining qualitative and quantitative data, Bayesian networks offer the perfect solution to the compelling need for an integrated approach to operational risk management, say Martin Neil and Ed Tranham

All organisations can be positioned on a notional risk continuum, with increasing vulnerability at one end and increasing resistance to danger at the other. The position of an organisation within this risk continuum is completely determined by the quality of the processes used to combat its

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to View our subscription options

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here