GeneralizedIterativeScaling

This is one of the earliest methods used for inference in log-linear models. Though more sophisticated and faster methods have evolved, this method provides an insight in log linear models.

What problem does it address

The objective of this method is to find a probability function of the form

$(1)\quad \quad p_{i}=\pi _{i}\mu \prod _{s=1}^{d}\mu _{s}^{b_{si}}$

satisfying the constraints

$(2)\quad \quad \sum _{i\in I}b_{si}p_{i}=k_{s}$