Nos derniers articles

The article presents three key arguments on #risktaking in #corporategovernance. Firstly, it asserts that #riskmanagers shouldn't be automatically blamed for corporate failures arising from statistically justified risk-based decisions. It suggests a "statistics-based governance" rule to protect managers within legal limits. Secondly, it argues for the inclusion of statistical methodologies to offset #cognitivebias in assessing prudent corporate #governance. Lastly, it contends that while expected-value analysis guides most decisions, for those with potential societal harm, public interests should also be considered.

#bayesian data imputation is a technique used to fill in missing data in a variety of fields, including #riskmanagement. By employing imputation techniques to fill in the gaps, #riskmanagers can obtain a more comprehensive and reliable understanding of the underlying #risk factors, enabling them to make informed decisions and develop effective strategies for #riskmitigation.