9 citations · 21 across the 3 of their papers we have counts for
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stat.ME2025
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
Johan de Aguas, Sebastian Krumscheid, Johan Pensar +1
We define the Probability of Tiered Benefit in scenarios with a binary exposure and an outcome that is either categorical with ordered tiers or continuous partitioned by…
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…