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Ioan Gabriel Bucur
Ioan Gabriel Bucur
Postdoctoral Researcher, Radboud University Nijmegen
Verified email at cs.ru.nl - Homepage
Title
Cited by
Cited by
Year
Causal shapley values: Exploiting causal knowledge to explain individual predictions of complex models
T Heskes, E Sijben, IG Bucur, T Claassen
Advances in neural information processing systems 33, 4778-4789, 2020
372020
Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach
IG Bucur, T Claassen, T Heskes
Statistical Methods in Medical Research 29 (4), 1081-1111, 2020
102020
A novel Bayesian approach for latent variable modeling from mixed data with missing values
R Cui, IG Bucur, P Groot, T Heskes
Statistics and Computing 29 (5), 977-993, 2019
82019
Segment Compression Steganographic Algorithm
D Stanescu, IG Bucur, M Stratulat
2010 International Joint Conference on Computational Cybernetics and …, 2010
52010
Large-scale local causal inference of gene regulatory relationships
IG Bucur, T Claassen, T Heskes
International Journal of Approximate Reasoning 115, 50-68, 2019
42019
Understanding the assumptions underlying Mendelian randomization
C de Leeuw, J Savage, IG Bucur, T Heskes, D Posthuma
European Journal of Human Genetics 30 (6), 653-660, 2022
22022
Robust causal estimation in the large-sample limit without strict faithfulness
IG Bucur, T Claassen, T Heskes
Artificial Intelligence and Statistics, 1523-1531, 2017
22017
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
IG Bucur, T Bussel, T Claassen, T Heskes
International Conference on Probabilistic Graphical Models, 37-48, 2018
12018
Enhanced Segment Compression Steganographic Algorithm
IG Bucur, D Stanescu, M Stratulat
Advances in Electrical and Computer Engineering 13 (3), 101-106, 2013
12013
Towards individualized monitoring of cognition in multiple sclerosis in the digital era: A one-year cohort study
KH Lam, IG Bucur, P Van Oirschot, F De Graaf, H Weda, E Strijbis, ...
Multiple Sclerosis and Related Disorders 60, 103692, 2022
2022
Greedy Equivalence Search in the Presence of Latent Confounders
T Claassen, IG Bucur
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
2022
Package ‘autoRasch’
F Wijayanto, IG Bucur, P Groot, T Heskes, K Mul, BGM van Engelen, ...
2022
Semi-Automated Rasch Analysis with Differential Item Functioning
F Wijayanto, IG Bucur, K Mul, P Groot, BGM van Engelen, T Heskes
PsyArXiv, 2022
2022
Smartphone monitoring of cognition and walking function in multiple sclerosis
KH Lam, P Oirschot, IG Bucur, F Graaf, B Uitdehaag, T Heskes, ...
2021
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
IG Bucur, T Claassen, T Heskes
Conference on Uncertainty in Artificial Intelligence, 1049-1058, 2020
2020
Being bayesian about causal inference
IG Bucur
[Sl: sn], 2020
2020
BayesMR: A Bayesian Mendelian Randomization Approach
IG Bucur, T Claassen, TM Heskes
DANS EASY, 2020
2020
MASSIVE: Model Assessment and Stochastic Search for Instrumental Variable Estimation
IG Bucur, T Claassen, TM Heskes
DANS EASY, 2020
2020
BFCS: Bayes Factors of Covariance Structures
IG Bucur, T Claassen, TM Heskes
DANS EASY, 2020
2020
RoCELL: Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
IG Bucur, T Claassen, TM Heskes
DANS EASY, 2020
2020
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