The normal linear model, with sign or other linear inequality constraints on its coefficients, arises very commonly in many scientific applications. Given inequality constraints Bayesian inference is ...

The work provides new algorithms, parameterized by the size of a minimum edge clique cover, to graph problems that can be formulated as a task of finding an optimal triangulation of a given graph with ...