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ORCIDNima S. Hejazi
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2020 – today
- 2024
[i3]Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser:
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning. CoRR abs/2404.09847 (2024)- 2023
- [j11]Philippe Boileau
, Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit:
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions. J. Comput. Graph. Stat. 32(2): 601-612 (2023) - 2022
- [j10]Nima S. Hejazi, Kara E. Rudolph, Iván Díaz:
'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'. J. Open Source Softw. 7(69): 3979 (2022) - [j9]Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser:
'haldensify': Highly adaptive lasso conditional density estimation in 'R'. J. Open Source Softw. 7(78): 4522 (2022) - 2021
- [j8]Philippe Boileau, Nima S. Hejazi, Brian Collica, Mark J. van der Laan, Sandrine Dudoit:
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R. J. Open Source Softw. 6(63): 3273 (2021) - [i2]Nima S. Hejazi, Wenjing Zheng, Sathya Anand:
A framework for causal segmentation analysis with machine learning in large-scale digital experiments. CoRR abs/2111.01223 (2021) - 2020
- [j7]Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit:
Exploring high-dimensional biological data with sparse contrastive principal component analysis. Bioinform. 36(11): 3422-3430 (2020) - [j6]Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit:
scPCA: A toolbox for sparse contrastive principal component analysis in R. J. Open Source Softw. 5(46): 2079 (2020) - [j5]Nima S. Hejazi, Jeremy R. Coyle, Mark J. van der Laan:
hal9001: Scalable highly adaptive lasso regression in R. J. Open Source Softw. 5(53): 2526 (2020) - [j4]Nima S. Hejazi, David C. Benkeser:
txshift: Efficient estimation of the causal effects of stochastic interventions in R. J. Open Source Softw. 5(54): 2447 (2020)
2010 – 2019
- 2018
- [j3]Jeremy R. Coyle, Nima S. Hejazi:
origami: A Generalized Framework for Cross-Validation in R. J. Open Source Softw. 3(21): 512 (2018) - [j2]Weixin Cai, Alan E. Hubbard, Nima S. Hejazi:
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R. J. Open Source Softw. 3(30): 161 (2018) - [i1]Nima S. Hejazi, Rachael V. Phillips, Alan E. Hubbard, Mark J. van der Laan:
methyvim: Targeted, robust, and model-free differential methylation analysis in R. F1000Research 7: 1424 (2018) - 2017
- [j1]Nima S. Hejazi, Weixin Cai, Alan E. Hubbard:
biotmle: Targeted Learning for Biomarker Discovery. J. Open Source Softw. 2(15): 295 (2017)
Coauthor Index
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