Ioan Gabriel Bucur,
Tom Claassen,
and Tom Heskes.
Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach.
Statistical Methods in Medical Research,
pp 0962280219851817,
2019.
@ARTICLE{bucur2019inferring,
TITLE = {Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach},
AUTHOR = {Bucur, Ioan Gabriel and Claassen, Tom and Heskes, Tom},
JOURNAL = {Statistical Methods in Medical Research},
PAGES = {0962280219851817},
YEAR = {2019},
URL = {https://doi.org/10.1177/0962280219851817}
}
Ioan Gabriel Bucur,
Tom Claassen,
and Tom Heskes.
Large-scale local causal inference of gene regulatory relationships.
International Journal of Approximate Reasoning,
155:50-68,
2019.
@ARTICLE{bucur2019local,
TITLE = {Large-scale local causal inference of gene regulatory relationships},
AUTHOR = {Bucur, Ioan Gabriel and Claassen, Tom and Heskes, Tom},
JOURNAL = {International Journal of Approximate Reasoning},
VOLUME = {155},
PAGES = {50-68},
URL = {https://doi.org/10.1016/j.ijar.2019.08.012},
YEAR = {2019}
}
Sascha Caron,
Tom Heskes,
Sydney Otten,
and Bob Stienen.
Constraining the parameters of high-dimensional models with active learning.
European Physical Journal C,
79:944,
2019.
@ARTICLE{stienen2019,
AUTHOR = {Sascha Caron and Tom Heskes and Sydney Otten and Bob Stienen},
TITLE = {Constraining the parameters of high-dimensional models with active learning},
JOURNAL = { European Physical Journal C},
VOLUME = 79,
PAGES = 944,
YEAR = {2019},
URL = {https://doi.org/10.1140/epjc/s10052-019-7437-5}
}
Ruifei Cui,
Ioan Gabriel Bucur,
Perry Groot,
and Tom Heskes.
A novel Bayesian approach for latent variable modeling from mixed data with missing values.
Statistics and Computing,
29:977-993,
2019.
@ARTICLE{Cui2019,
AUTHOR = {Cui, Ruifei and Bucur, Ioan Gabriel and Groot, Perry and Heskes, Tom},
TITLE = {A novel Bayesian approach for latent variable modeling from mixed data with missing values},
JOURNAL = {Statistics and Computing},
YEAR = {2019},
VOLUME = 29,
PAGES = {977-993},
URL = {https://doi.org/10.1007/s11222-018-09849-7}
}
Ruifei Cui,
Perry Groot,
and Tom Heskes.
Learning causal structure from mixed data with missing values using Gaussian copula models.
Statistics and Computing,
29(2):311-333,
2019.
@ARTICLE{Cui2018,
AUTHOR = {Cui, Ruifei and Groot, Perry and Heskes, Tom},
TITLE = {Learning causal structure from mixed data with missing values using Gaussian copula models},
JOURNAL = {Statistics and Computing},
YEAR = {2019},
VOLUME = 29,
NUMBER = 2,
PAGES = {311-333},
URL = {https://doi.org/10.1007/s11222-018-9810-x}
}
Luc Evers,
Jesse Krijtje,
Marjan Meinders,
Bas Bloem,
and Tom Heskes.
Measuring Parkinson's disease over time: the real-world within-subject reliability of the MDS-UPDRS.
Movement Disorders,
34:1480-1487,
2019.
@ARTICLE{evers2019,
AUTHOR = {Luc Evers and Jesse Krijtje and Marjan Meinders and Bas Bloem and Tom Heskes},
TITLE = {Measuring Parkinson's disease over time: the real-world within-subject reliability of the MDS-UPDRS},
JOURNAL = {Movement Disorders},
VOLUME = 34,
PAGES = {1480-1487},
YEAR = {2019},
URL = {https://doi.org/10.1002/mds.27790}
}
Simone Lederer,
Tjeerd Dijkstra,
and Tom Heskes.
Additive dose response models: Defining synergy.
Frontiers in Pharmacology,
10:1384,
2019.
@ARTICLE{lederer2019,
AUTHOR = {Simone Lederer and Tjeerd Dijkstra and Tom Heskes},
JOURNAL = {Frontiers in Pharmacology},
VOLUME = 10,
PAGES = 1384,
TITLE = {Additive dose response models: {D}efining synergy},
YEAR = {2019},
URL = {https://dx.doi.org/10.3389/fphar.2019.01384}
}
Payam Piray,
Amir Dezfouli,
Tom Heskes,
Michael J Frank,
and Nathaniel D Daw.
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies.
PLOS Computational Biology,
15(6):e1007043,
2019.
@ARTICLE{piray2019hierarchical,
TITLE = {Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies},
AUTHOR = {Piray, Payam and Dezfouli, Amir and Heskes, Tom and Frank, Michael J and Daw, Nathaniel D},
JOURNAL = {PLOS Computational Biology},
VOLUME = {15},
NUMBER = {6},
PAGES = {e1007043},
YEAR = {2019},
URL = {https://doi.org/10.1371/journal.pcbi.1007043}
}
Ridho Rahmadi,
Perry Groot,
and Tom Heskes.
Stable specification search in structural equation models with latent variables.
Transactions on Intelligent Systems and Technology,
10(5):48,
2019.
@ARTICLE{rahmadi2019,
AUTHOR = {Ridho Rahmadi and Perry Groot and Tom Heskes},
TITLE = {Stable specification search in structural equation models with latent variables},
JOURNAL = {Transactions on Intelligent Systems and Technology},
VOLUME = {10},
NUMBER = {5},
PAGES = {48},
URL = {https://doi.org/10.1145/3341557},
YEAR = {2019}
}