
The geometry of Gaussian double Markovian distributions
Gaussian double Markovian models consist of covariance matrices constrai...
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Incidence geometry in the projective plane via almostprincipal minors of symmetric matrices
We present an encoding of a polynomial system into vanishing and nonvan...
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Gaussoids are twoantecedental approximations of Gaussian conditional independence structures
The gaussoid axioms are conditional independence inference rules which c...
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Reciprocal Maximum Likelihood Degrees of Brownian Motion Tree Models
We give an explicit formula for the reciprocal maximum likelihood degree...
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Construction Methods for Gaussoids
The number of ngaussoids is shown to be a double exponential function i...
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The Geometry of Gaussoids
A gaussoid is a combinatorial structure that encodes independence in pro...
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Tobias Boege
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