Nima S. Hejazi

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
CausalTables.jl: Simulating and storing data for statistical causal inference in Julia.
J. Open Source Softw.
Salvador V. Balkus, Nima S. Hejazi
2024 J jnl
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning.
CoRR
Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser
2023 J jnl
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions.
J. Comput. Graph. Stat.
Philippe Boileau, Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit
2022 J jnl
'haldensify': Highly adaptive lasso conditional density estimation in 'R'.
J. Open Source Softw.
Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser
2022 J jnl
'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'.
J. Open Source Softw.
Nima S. Hejazi, Kara E. Rudolph, Iván Díaz
2021 J jnl
A framework for causal segmentation analysis with machine learning in large-scale digital experiments.
CoRR
Nima S. Hejazi, Wenjing Zheng, Sathya Anand
2021 J jnl
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R.
J. Open Source Softw.
Philippe Boileau, Nima S. Hejazi, Brian Collica, Mark J. van der Laan, Sandrine Dudoit
2020 J jnl
Exploring high-dimensional biological data with sparse contrastive principal component analysis.
Bioinform.
Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit
2020 J jnl
hal9001: Scalable highly adaptive lasso regression in R.
J. Open Source Softw.
Nima S. Hejazi, Jeremy R. Coyle, Mark J. van der Laan
2020 J jnl
scPCA: A toolbox for sparse contrastive principal component analysis in R.
J. Open Source Softw.
Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit
2020 J jnl
txshift: Efficient estimation of the causal effects of stochastic interventions in R.
J. Open Source Softw.
Nima S. Hejazi, David C. Benkeser
2018 J jnl
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R.
J. Open Source Softw.
Weixin Cai, Alan E. Hubbard, Nima S. Hejazi
2018 J jnl
origami: A Generalized Framework for Cross-Validation in R.
J. Open Source Softw.
Jeremy R. Coyle, Nima S. Hejazi
2017 J jnl
biotmle: Targeted Learning for Biomarker Discovery.
J. Open Source Softw.
Nima S. Hejazi, Weixin Cai, Alan E. Hubbard