Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

The model aims to estimate the linear relationship between the location expression and cellular expression of specific marker genes, where the generalized L2 norm is induced by the graph Laplacian ...

Generalized linear models are widely used in data analysis and machine learning, especially in large-scale machine learning because of its simplicity and good performance. Generalized linear models ...

We discuss prediction of random effects and of expected responses in multilevel generalized linear models. Prediction of random effects is useful for instance in small area estimation and disease ...

Enhance your data analysis skills with this hands-on course on Generalised Linear Models in R. Learn to model complex data types and apply GLMs in real-world scenarios.

Different types of multivariable analysis: generalized linear models Generalized linear models (GLMs, table 2) are a flexible and powerful class of statistical models widely used in multivariable ...

Objectives To model trajectories of antenatal and postnatal growth using linear spline multilevel models. Design Prospective cohort study. Setting Maternity hospital in Dublin, Ireland. Participants ...