Maximum likelihood estimation (MLE) underpins a wide array of regression models by selecting parameter values that maximise the probability of observed data under assumed distributions. In classical ...

The challenge of using small sample sizes for operational risk capital models fitted via maximum likelihood estimation is well recognized, yet the literature ...

In the process of loan pricing, stress testing, capital allocation, modeling of probability of default (PD) term structure and International Financial Reporting Standard 9 expected credit loss ...