Peer-reviewed publications

A1 Journal article (refereed)
Learning Gaussian graphical models with fractional marginal pseudo-likelihood (2017)
Janne Leppä-Aho, Johan Pensar, Teemu Roos, Jukka Corander
International Journal of Approximate Reasoning
A1 Journal article (refereed)
Representing local structure in Bayesian networks by Boolean functions (2017)
Yuan Zou, Johan Pensar, Teemu Roos
Pattern Recognition Letters
A1 Journal article (refereed)
Stratified Gaussian graphical models (2017)
Nyman H, Pensar J, Corander J
Communications in Statistics - Theory and Methods
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A1 Journal article (refereed)
Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood (2017)
Pensar J, Nyman H, Corander J
Scandinavian Journal of Statistics
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A4 Conference proceedings
A logical approach to context-specific independence (2016)
Jukka Corander, Antti Hyttinen, Juha Kontinen, Johan Pensar, Jouko Väänänen
Lecture Notes in Computer Science
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A3 Book section, Chapters in research books
Context-Specific and Local Independence in Markovian Dependence Structures (2016)
Henrik Nyman, Johan Pensar, Jukka Corander
Springer
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A1 Journal article (refereed)
Marginal Pseudo-Likelihood Learning of Discrete Markov Network Structures (2016)
Johan Pensar, Henrik Nyman, Juha Niiranen, Jukka Corander
Bayesian Analysis
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G5 Doctoral dissertation (article)
Structure learning of context-specific graphical models (2016)
Johan Pensar
A1 Journal article (refereed)
Context-specific independence in graphical log-linear models (2015)
Henrik Nyman, Johan Pensar, Timo Koski, Jukka Corander
Computational Statistics
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A1 Journal article (refereed)
Learning discrete decomposable graphical models via constraint optimization (2015)
Tomi Janhunen, Martin Gebser, Jussi Rintanen, Henrik Nyman, Johan Pensar, Jukka Corander
Statistics and Computing
A1 Journal article (refereed)
Marginal and simultaneous predictive classification using stratified graphical models (2015)
Henrik Nyman, Jie Xiong, Johan Pensar, Jukka Corander
Advances in Data Analysis and Classification
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A1 Journal article (refereed)
The role of local partial independence in learning of Bayesian networks (2015)
Johan Pensar, Henrik Nyman, Jarno Lintusaari, Jukka Corander
International Journal of Approximate Reasoning
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A1 Journal article (refereed)
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models (2014)
Johan Pensar, Henrik Nyman, Timo Koski, Jukka Corander
Data Mining and Knowledge Discovery
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A1 Journal article (refereed)
Stratified graphical models - context-specific independence in graphical models (2014)
Henrik Nyman, Johan Pensar, Timo Koski, Jukka Corander
Bayesian Analysis
A1 Journal article (refereed)
The Genetics of Sexuality and Aggression (GSA) twin samples in Finland. (2013)
Johansson A, Jern P, Santtila P, von der Pahlen B, Eriksson E, Westberg L, Nyman H, Pensar J, Corander J, Sandnabba N K
Twin Research and Human Genetics
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Last updated on 2017-20-06 at 09:51