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 ...

Threshold estimation in regression models concerns identifying points at which the relationship between independent and dependent variables shifts distinctively. These models extend linear frameworks ...