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Degree Bounds for a Minimal Markov Basis for the Three-State Toric Homogeneous Markov Chain Model

机译:三态Toric最小马尔可夫基的度边界   齐次马尔可夫链模型

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摘要

We study the three state toric homogeneous Markov chain model and threespecial cases of it, namely: (i) when the initial state parameters areconstant, (ii) without self-loops, and (iii) when both cases are satisfied atthe same time. Using as a key tool a directed multigraph associated to themodel, the state-graph, we give a bound on the number of vertices of thepolytope associated to the model which does not depend on the time. Based onour computations, we also conjecture the stabilization of the f-vector of thepolytope, analyze the normality of the semigroup, give conjectural bounds onthe degree of the Markov bases.
机译:我们研究了三态复曲面齐次马尔可夫链模型及其三种特殊情况,即:(i)初始状态参数恒定时;(ii)无自环;(iii)同时满足两种情况。使用与模型关联的有向多重图(状态图)作为关键工具,我们对与模型关联的多面体的顶点数量进行了限制,该顶点数量与时间无关。根据计算,我们还可以猜出多位点的f向量的稳定性,分析半群的正态性,给出马尔可夫基数的程度的猜想界。

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