Nima S. Hejazi

According to our database, Nima S. Hejazi authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning.

Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser

CoRR, 2024

2023

Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions.

Philippe Boileau, Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit

J. Comput. Graph. Stat., April, 2023

2022

'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'.

Nima S. Hejazi, Kara E. Rudolph, Iván Díaz

J. Open Source Softw., 2022

'haldensify': Highly adaptive lasso conditional density estimation in 'R'.

Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser

J. Open Source Softw., 2022

2021

cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R.

Philippe Boileau, Nima S. Hejazi, Brian Collica, Mark J. van der Laan, Sandrine Dudoit

J. Open Source Softw., 2021

A framework for causal segmentation analysis with machine learning in large-scale digital experiments.

Nima S. Hejazi, Wenjing Zheng, Sathya Anand

CoRR, 2021

2020

hal9001: Scalable highly adaptive lasso regression in R.

Nima S. Hejazi, Jeremy R. Coyle, Mark J. van der Laan

J. Open Source Softw., 2020

txshift: Efficient estimation of the causal effects of stochastic interventions in R.

Nima S. Hejazi, David C. Benkeser

J. Open Source Softw., 2020

scPCA: A toolbox for sparse contrastive principal component analysis in R.

Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit

J. Open Source Softw., 2020

Exploring high-dimensional biological data with sparse contrastive principal component analysis.

Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit

Bioinform., 2020

2018

origami: A Generalized Framework for Cross-Validation in R.

Jeremy R. Coyle, Nima S. Hejazi

J. Open Source Softw., 2018

adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R.

Weixin Cai, Alan E. Hubbard, Nima S. Hejazi

J. Open Source Softw., 2018

<i>methyvim</i>: Targeted, robust, and model-free differential methylation analysis in R.

Nima S. Hejazi, Rachael V. Phillips, Alan E. Hubbard, Mark J. van der Laan

F1000Research, 2018

2017

biotmle: Targeted Learning for Biomarker Discovery.

Nima S. Hejazi, Weixin Cai, Alan E. Hubbard

J. Open Source Softw., 2017