Research output per year
Research output per year
Search results
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2021
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach
Tikka, S., Hyttinen, A. & Karvanen, J., 2021, In: Journal of Statistical Software. 99, 5, p. 1-40Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Do-search A Tool for Causal Inference and Study Design with Multiple Data Sources
Karvanen, J., Tikka, S. & Hyttinen, A., Jan 2021, In: Epidemiology. 32, 1, p. 111-119 9 p.Research output: Contribution to journal › Article › Scientific › peer-review
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2020
Discovering Causal Graphs with Cycles and Latent Confounders: An Exact Branch-and-Bound Approach
Rantanen, K., Hyttinen, A. & Järvisalo, M., Feb 2020, In: International Journal of Approximate Reasoning. 117, p. 29-49 21 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
2019
A Logical Approach to Context-Specific Independence
Corander, J., Hyttinen, A., Kontinen, J., Pensar, J. & Väänänen, J., Sept 2019, In: Annals of Pure and Applied Logic. 170, 9, p. 975-992 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
2017
A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data
Hyttinen, A., Plis, S., Järvisalo, M., Eberhardt, F. & Danks, D., Nov 2017, In: International Journal of Approximate Reasoning. 90, p. 208-225 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
2013
Experiment Selection for Causal Discovery
Hyttinen, A., Eberhardt, F. & Hoyer, P. O., Oct 2013, In: Journal of Machine Learning Research. 2013, 14, p. 3041-3071 31 p.Research output: Contribution to journal › Article › Scientific › peer-review
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2012
Learning Linear Cyclic Causal Models with Latent Variables
Hyttinen, A., Eberhardt, F. & Hoyer, P. O., Nov 2012, In: Journal of Machine Learning Research. 13, p. 3387-3439 53 p.Research output: Contribution to journal › Article › Scientific › peer-review