1. Angelopoulos, A.N., Bates, S.: A gentle introduction to conformal prediction and distribution-free uncertainty quantification (2021). arXiv:2107.07511
2. Azevedo, T., de Jong, R., Maji, P.: Stochastic-YOLO: efficient probabilistic object detection under dataset shifts. In: ML4AD Workshop, NeurIPS 2020 (2020)
3. Barber, R.F., Candes, E.J., Ramdas, A., Tibshirani, R.J.: Conformal prediction beyond exchangeability (2022). arXiv:2202.13415
4. Bates, S., Angelopoulos, A., Lei, L., Malik, J., Jordan, M.I.: Distribution-free, risk-controlling prediction sets. J. ACM 68(6), 1–34 (2021)
5. Bickel, P.J., Doksum, K.A.: Mathematical Statistics: Basic Ideas and Selected Topics, vol. 1. Chapman and Hall/CRC, London (2015)