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Henrik J. Nyman

1 paper hereh-index 9406 citations24 works total

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedStructure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ME2021★ 8 cited

Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood

Johan Pensar, Henrik Nyman, Jukka Corander

Markov networks are popular models for discrete multivariate systems where the dependence structure of the variables is specified by an undirected graph. To allow for more expressi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.