Shi, Chengchun, Zhou, Yunzhe, and Li, Lexin. Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning. Retrieved from https://par.nsf.gov/biblio/10618647. Journal of the American Statistical Association 119.547 Web. doi:10.1080/01621459.2023.2220169.

Shi, Chengchun, Zhou, Yunzhe, & Li, Lexin. Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning. Journal of the American Statistical Association, 119 (547). Retrieved from https://par.nsf.gov/biblio/10618647. https://doi.org/10.1080/01621459.2023.2220169

Shi, Chengchun, Zhou, Yunzhe, and Li, Lexin. "Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning". Journal of the American Statistical Association 119 (547). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/01621459.2023.2220169. https://par.nsf.gov/biblio/10618647.

@article{osti_10618647,
place = {Country unknown/Code not available}, title = {Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning}, url = {https://par.nsf.gov/biblio/10618647}, DOI = {10.1080/01621459.2023.2220169}, abstractNote = {}, journal = {Journal of the American Statistical Association}, volume = {119}, number = {547}, publisher = {Taylor & Francis}, author = {Shi, Chengchun and Zhou, Yunzhe and Li, Lexin}, }