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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Beta regression has emerged as a valuable tool in regression analysis, particularly for data constrained within the [0, 1] interval, commonly encountered in chemistry, environmental studies, and ...