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Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics


Apr 20, 2022
Milena Pavlović, Ghadi S. Al Hajj, Johan Pensar, Mollie Wood, Ludvig M. Sollid, Victor Greiff, Geir Kjetil Sandve


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Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood


Mar 29, 2021
Johan Pensar, Henrik Nyman, Jukka Corander

* Scandinavian Journal of Statistics, Vol. 44: 455-479, 2017 

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Towards Scalable Bayesian Learning of Causal DAGs


Sep 30, 2020
Jussi Viinikka, Antti Hyttinen, Johan Pensar, Mikko Koivisto


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Learning pairwise Markov network structures using correlation neighborhoods


Oct 30, 2019
Juri Kuronen, Jukka Corander, Johan Pensar


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High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study


Jan 14, 2019
Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander


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Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood


Feb 25, 2016
Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander


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Marginal Pseudo-Likelihood Learning of Markov Network structures


Nov 11, 2014
Johan Pensar, Henrik Nyman, Juha Niiranen, Jukka Corander

* 42 pages 

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Context-specific independence in graphical log-linear models


Sep 09, 2014
Henrik Nyman, Johan Pensar, Timo Koski, Jukka Corander

* 18 pages, 5 figures. arXiv admin note: text overlap with arXiv:1309.6415 

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Marginal and simultaneous predictive classification using stratified graphical models


Jan 31, 2014
Henrik Nyman, Jie Xiong, Johan Pensar, Jukka Corander

* 18 pages, 5 figures 

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Stratified Graphical Models - Context-Specific Independence in Graphical Models


Nov 14, 2013
Henrik Nyman, Johan Pensar, Timo Koski, Jukka Corander

* 19 pages, 7 png figures. In version two the women and mathematics example is replaced with a parliament election data example. Version two contains 22 pages and 8 png figures 

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Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models


Oct 04, 2013
Johan Pensar, Henrik Nyman, Timo Koski, Jukka Corander

* 26 pages, 17 figures 

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Learning Chordal Markov Networks by Constraint Satisfaction


Oct 03, 2013
Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik Nyman, Johan Pensar


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