How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time

The authors thank the editor, associate editor, and two anonymous reviewers whose valuable suggestions led to many significant improvements in the final version of the paper. The authors also thank Nick Arnosti, Santiago Balseiro, Gah-Yi Ban, Omar El Housni, Yale T. Herer, Nathan Kallus, Will Ma, and Dan Russo for questions and comments that helped improve this work.