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math.NA2023★ 2 cited
Assigning Stationary Distributions to Sparse Stochastic Matrices
Nicolas Gillis, Paul Van Dooren
The target stationary distribution problem (TSDP) is the following: given an irreducible stochastic matrix and a target stationary distribution , construct a minimum no…
cs.LG2023★ 1 cited
Subtractive Mixture Models via Squaring: Representation and Learning
Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel +4
Mixture models are traditionally represented and learned by adding several distributions as components. Allowing mixtures to subtract probability mass or density can drastically re…