Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.