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Karthika Mohan
Karthika Mohan
Verified email at oregonstate.edu - Homepage
Title
Cited by
Cited by
Year
Graphical models for inference with missing data
K Mohan
Advances in Neural Information Processing Systems 26 (NIPS 2013) 26, 2013
1442013
Graphical models for processing missing data
K Mohan, J Pearl
Journal of the American Statistical Association 116 (534), 1023-1037, 2021
1002021
Graphical representation of missing data problems
F Thoemmes, K Mohan
Structural Equation Modeling: A Multidisciplinary Journal 22 (4), 631-642, 2015
622015
Missing data as a causal and probabilistic problem
I Shpitser, K Mohan, J Pearl
CALIFORNIA UNIV LOS ANGELES DEPT OF COMPUTER SCIENCE, 2015
472015
Graphical models for recovering probabilistic and causal queries from missing data
K Mohan, J Pearl
Probabilistic and Causal Inference: The Works of Judea Pearl, 413-432, 2022
462022
On the testability of models with missing data
K Mohan, J Pearl
Artificial Intelligence and Statistics, 643-650, 2014
412014
Causal discovery in the presence of missing data
R Tu, C Zhang, P Ackermann, K Mohan, H Kjellström, K Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
362019
Efficient algorithms for Bayesian network parameter learning from incomplete data
GV Broeck, K Mohan, A Choi, J Pearl
arXiv preprint arXiv:1411.7014, 2014
332014
Recoverability and testability of missing data: Introduction and summary of results
J Pearl, K Mohan
Available at SSRN 2343873, 2013
222013
Estimation with incomplete data: The linear case
K Mohan, F Thoemmes, J Pearl
Proceedings of the International Joint Conferences on Artificial …, 2018
202018
Missing data as a causal inference problem
K Mohan, J Pearl, T Jin
Proceedings of the neural information processing systems conference (nips), 2013
172013
An efficient method for bayesian network parameter learning from incomplete data
K Mohan, G Van den Brock, A Choi, J Pearl
Causal Modeling and Machine Learning Workshop 951, 2014, 2014
72014
Causal Inference with Non-IID Data using Linear Graphical Models
C Zhang, K Mohan, J Pearl
Advances in Neural Information Processing Systems, 2022
2022
Missing Data
K Mohan, J Pearl
Probabilistic and Causal Inference: The Works of Judea Pearl, 413, 2022
2022
Causal Graphs for Missing Data: A Gentle Introduction
K Mohan
Probabilistic and Causal Inference: The Works of Judea Pearl, 655-666, 2022
2022
Transportability and the Bias-Variance Tradeoff
K Mohan, JW Vaughan, J Pearl
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