4 citations · 10 across the 5 of their papers we have counts for
5 papers
Minimal average degree aberration and the state polytope for experimental designs
Yael Berstein, Hugo Maruri-Aguilar, Shmuel Onn +2
For a particular experimental design, there is interest in finding which polynomial models can be identified in the usual regression set up. The algebraic methods based on Groebner…
The causal manipulation of chain event graphs
Eva Riccomagno, Jim Q. Smith
Discrete Bayesian Networks have been very successful as a framework both for inference and for expressing certain causal hypotheses. In this paper we present a class of graphical m…
Algebraic causality: Bayes nets and beyond
Eva Riccomagno, Jim Q Smith
The relationship between algebraic geometry and the inferential framework of the Bayesian Networks with hidden variables has now been fruitfully explored and exploited by a number…
Two polynomial representations of experimental design
Roberto Notari, Eva Riccomagno, Maria-Piera Rogantin
In the context of algebraic statistics an experimental design is described by a set of polynomials called the design ideal. This, in turn, is generated by finite sets of polynomial…
Nonlinear Matroid Optimization and Experimental Design
Yael Berstein, Jon Lee, Hugo Maruri-Aguilar +4
We study the problem of optimizing nonlinear objective functions over matroids presented by oracles or explicitly. Such functions can be interpreted as the balancing of multi-crite…