Graphical models for inference with missing data K Mohan Advances in Neural Information Processing Systems 26 (NIPS 2013) 26, 2013 | 167 | 2013 |

Graphical models for processing missing data K Mohan, J Pearl Journal of the American Statistical Association 116 (534), 1023-1037, 2021 | 129 | 2021 |

Graphical representation of missing data problems F Thoemmes, K Mohan Structural Equation Modeling: A Multidisciplinary Journal 22 (4), 631-642, 2015 | 67 | 2015 |

Missing data as a causal and probabilistic problem I Shpitser, K Mohan, J Pearl CALIFORNIA UNIV LOS ANGELES DEPT OF COMPUTER SCIENCE, 2015 | 51 | 2015 |

Graphical models for recovering probabilistic and causal queries from missing data K Mohan, J Pearl Advances in Neural Information Processing Systems (Neurips-2014), 2014 | 49* | 2014 |

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 | 44 | 2019 |

On the testability of models with missing data K Mohan, J Pearl Artificial Intelligence and Statistics, 643-650, 2014 | 42 | 2014 |

Efficient algorithms for Bayesian network parameter learning from incomplete data GV Broeck, K Mohan, A Choi, J Pearl arXiv preprint arXiv:1411.7014, 2014 | 37 | 2014 |

Estimation with incomplete data: The linear case K Mohan, F Thoemmes, J Pearl Proceedings of the International Joint Conferences on Artificial …, 2018 | 25 | 2018 |

Recoverability and testability of missing data: Introduction and summary of results J Pearl, K Mohan Available at SSRN 2343873, 2013 | 23 | 2013 |

Missing data as a causal inference problem K Mohan, J Pearl, T Jin Proceedings of the neural information processing systems conference (nips), 2013 | 18 | 2013 |

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 | 7 | 2014 |

Causal Inference with Non-IID Data using Linear Graphical Models C Zhang, K Mohan, J Pearl Advances in Neural Information Processing Systems, 2022 | 5 | 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 | | |