37 citations · 188 across the 16 of their papers we have counts for
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stat.ML2019
Learning pairwise Markov network structures using correlation neighborhoods
Juri Kuronen, Jukka Corander, Johan Pensar
Markov networks are widely studied and used throughout multivariate statistics and computer science. In particular, the problem of learning the structure of Markov networks from da…
stat.CO2019★ 9 cited
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Johan Pensar, Yingying Xu, Santeri Puranen +3
Learning the undirected graph structure of a Markov network from data is a problem that has received a lot of attention during the last few decades. As a result of the general appl…