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Emanuel Ben-David
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Year
Linear regression with sparsely permuted data
M Slawski, E Ben-David
682019
Two-stage approach to multivariate linear regression with sparsely mismatched data
M Slawski, E Ben-David, P Li
Journal of Machine Learning Research 21 (204), 1-42, 2020
402020
High dimensional Bayesian inference for Gaussian directed acyclic graph models
E Ben-David, T Li, H Massam, B Rajaratnam
arXiv preprint arXiv:1109.4371, 2011
312011
A pseudo-likelihood approach to linear regression with partially shuffled data
M Slawski, G Diao, E Ben-David
Journal of Computational and Graphical Statistics 30 (4), 991-1003, 2021
272021
Sharp lower and upper bounds for the Gaussian rank of a graph
E Ben-David
Journal of Multivariate Analysis 139, 207-218, 2015
92015
Positive definite completion problems for Bayesian networks
E Ben-David, B Rajaratnam
SIAM Journal on Matrix Analysis and Applications 33 (2), 617-638, 2012
82012
Estimation in exponential family regression based on linked data contaminated by mismatch error
Z Wang, E Ben-David, M Slawski
arXiv preprint arXiv:2010.00181, 2020
72020
Regression with linked datasets subject to linkage error
Z Wang, E Ben‐David, G Diao, M Slawski
Wiley Interdisciplinary Reviews: Computational Statistics 14 (4), e1570, 2022
62022
High dimensional Bayesian inference for Gaussian directed acyclic graph models. arXiv pre-print
E Ben-David, T Li, H Massam, B Rajaratnam
arXiv preprint arxiv:1109.4371, 2015
62015
The Letac-Massam conjecture and existence of high dimensional Bayes estimators for Graphical Models
E Ben-David, B Rajaratnam
arXiv preprint arXiv:1408.0788, 2014
62014
Predicting census survey response rates via interpretable nonparametric additive models with structured interactions
S Ibrahim, R Mazumder, P Radchenko, E Ben-David
arXiv preprint arXiv:2108.11328, 2021
32021
Generalized hyper Markov laws for directed acyclic graphs
E Ben-David, B Rajaratnam
arXiv preprint arXiv:1109.4371, 2011
32011
Regularization for shuffled data problems via exponential family priors on the permutation group
Z Wang, E Ben-David, M Slawski
International Conference on Artificial Intelligence and Statistics, 2939-2959, 2023
12023
Positive definite completion problems for directed acyclic graphs
E Ben-David, B Rajaratnam
arXiv preprint arXiv:1201.0310, 2011
12011
A Novel Methodology for Improving Applications of Modern Predictive Modeling Techniques to Linked Data Sets Subject to Mismatch Error
E Ben-David, BT West, M Slawski
2023 Big Data Meets Survey Science (BigSurv), 1-8, 2023
2023
A General Framework for Regression with Mismatched Data Based on Mixture Modeling
M Slawski, BT West, P Bukke, G Diao, Z Wang, E Ben-David
arXiv preprint arXiv:2306.00909, 2023
2023
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
S Ibrahim, P Radchenko, E Ben-David, R Mazumder
arXiv preprint arXiv:2108.11328, 2021
2021
On the Letac-Massam conjecture and existence of high dimensional Bayes estimators for graphical models
E Ben-David, B Rajaratnam
2020
Maximal invariants for Lorentz–Wishart models
E Ben-David
Journal of Geometry and Physics 69, 31-39, 2013
2013
Maximal invariants over symmetric cones
E Ben-David
arXiv preprint arXiv:1201.0514, 2012
2012
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