Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

This paper develops a class of models to deal with missing data from longitudinal studies. We assume that separate models for the primary response and missingness (e.g., number of missed visits) are ...

Researchers in Sweden have developed a method to use LiDAR data to enable more precise tilt and azimuth modeling of solar PV and solar thermal capacity at a regional or substation level. The model ...