Skip to main content

Back to Bayesics

Gerald Sampson, of Saratoga Consulting, argues that a Bayesian approach to analysing transaction failures produces superior results.

Increasing attention is being devoted to the design of risk indicators as part of operational risk management programmes. The value of such indicators is their ability to predict transaction failure by analysing the impact that transaction attributes may have on the failure rate. A key to this type of exercise is to ensure that as the data is mined the maximum predictive power of transaction

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 info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net 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 Risk.net? View our subscription options

Want to know what’s included in our free membership? Click here

Show password
Hide password

Emerging trends in op risk

Karen Man, partner and member of the global financial institutions leadership team at Baker McKenzie, discusses emerging op risks in the wake of the Covid‑19 pandemic, a rise in cyber attacks, concerns around conduct and culture, and the complexities of…

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net 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