We introduce equivariant tree models in algebraic statistics, which unify and generalise existing tree models such as the general Markov model, the strand symmetric model, and group-based models such as the Jukes–Cantor and Kimura models. We focus on the ideals of such models. We show how the ideals for general trees can be determined from the ideals for stars. A corollary of theoretical importance is that the ideal for a general tree is generated by the ideals of its flattenings at vertices. The main novelty is that our results yield generators of the full ideal rather than an ideal which only defines the model set-theoretically
We develop the necessary theory in computational algebraic geometry to place Bayesian networks into ...
Recently there have been several attempts to provide a whole set of generators of the ideal of the a...
Many statistical models come in families of algebraic varieties parameterised by combinatorial data,...
We introduce equivariant tree models in algebraic statistics, which unify and generalise existing tr...
Abstract. We introduce equivariant tree models in algebraic statistics, which unify and generalise e...
AbstractThe general Markov model of the evolution of biological sequences along a tree leads to a pa...
The general Markov model of the evolution of biological sequences along a tree leads to a parameteri...
Equivariant tree models are statistical models used in the reconstruction of phylogenetic trees from...
AbstractConditional independence models in the Gaussian case are algebraic varieties in the cone of ...
Phylogenetic varieties related to equivariant substitution models have been studied largely in the l...
This thesis is concerned with developing a theory of model-theoretic tree properties. These propert...
Discrete statistical models supported on labeled event trees can be specified using so-called interp...
A staged tree model is a discrete statistical model encoding relationships between events. These mod...
In algebraic statistics, Jukes–Cantor and Kimura models are of great importance. Sturmfels and Sulli...
We develop the necessary theory in computational algebraic geometry to place Bayesian networks into ...
Recently there have been several attempts to provide a whole set of generators of the ideal of the a...
Many statistical models come in families of algebraic varieties parameterised by combinatorial data,...
We introduce equivariant tree models in algebraic statistics, which unify and generalise existing tr...
Abstract. We introduce equivariant tree models in algebraic statistics, which unify and generalise e...
AbstractThe general Markov model of the evolution of biological sequences along a tree leads to a pa...
The general Markov model of the evolution of biological sequences along a tree leads to a parameteri...
Equivariant tree models are statistical models used in the reconstruction of phylogenetic trees from...
AbstractConditional independence models in the Gaussian case are algebraic varieties in the cone of ...
Phylogenetic varieties related to equivariant substitution models have been studied largely in the l...
This thesis is concerned with developing a theory of model-theoretic tree properties. These propert...
Discrete statistical models supported on labeled event trees can be specified using so-called interp...
A staged tree model is a discrete statistical model encoding relationships between events. These mod...
In algebraic statistics, Jukes–Cantor and Kimura models are of great importance. Sturmfels and Sulli...
We develop the necessary theory in computational algebraic geometry to place Bayesian networks into ...
Recently there have been several attempts to provide a whole set of generators of the ideal of the a...
Many statistical models come in families of algebraic varieties parameterised by combinatorial data,...