The inference package is a collection of Python modules implementing a variety of methods targeting the statistical inference problems—and the statistical modeling style—of the physical sciences.Our ...

This project demonstrates the application of statistical inference and hypothesis testing methods using Python. Through these methods, key relationships and differences between variables in the ...

Here the point which comes into focus is the causal inference which can be considered as the family of statistical methods whose main motive is to give the reasons for any happening. We use causal ...

Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality. ...

Researchers at @MSFTResearchCam have released Python code and data for their work using machine learning to efficiently parameterize prescribed and neural dynamical systems models. Explore variational ...

Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.