Sound Bites • The development of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between responses is violated.

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

The mcglm package brings to python language one of the most powerful extensions to GLMs(Nelder, Wedderburn; 1972), the Multivariate Covariance Generalized Linear Models(Bonat, Jørgensen; 2016). The ...

Discover the power of non-linear numerical modeling in research and development. Explore a new flow law based on the Modified Zerilli-Armstrong model for accurate simulations. Compare its ...

In statistics and machine learning, ordinal regression is a variant of regression models that normally gets utilized when the data has an ordinal variable. Ordinal variable means a type of variable ...

This Python package provides the implementation of various generalized additive models like: GAM. LinearGAM. LogisticGAM. GammaGAM. PoissonGAM. As we have discussed before, GAM is the model which can ...

Yet another generalized linear model package yaglm is a modern, comprehensive and flexible Python package for fitting and tuning penalized generalized linear models and other supervised M-estimators ...