- Arratia, R., Goldstein, L., & Gordon, L. (1990). Poisson approximation and the Chen-Stein method. Statistical Science, 403-424.
- Arratia, R., Goldstein, L., & Kochman, F. (2013). Size bias for one and all. arXiv preprint arXiv:1308.2729.
- Barbour, A. D., & Chen, L. H. (2014). Steins (magic) method. arXiv preprint arXiv:1411.1179.
- Chatterjee, S. (2014). A short survey of Stein's method. arXiv preprint arXiv:1404.1392.
- Chen, L. H. (1998). Stein’s method: some perspectives with applications. In Probability towards 2000 (pp. 97-122). Springer, New York, NY.
- Chen, L. H., & Shao, Q. M. (2005). Stein’s method for normal approximation. An introduction to Stein’s method, 4, 1-59.
- Lachieze-Rey, R. (2018). Using Stein’s method in random geometry.
- Ley, C., Reinert, G., & Swan, Y. (2017). Stein’s method for comparison of univariate distributions. Probability Surveys, 14, 1-52.
- Nourdin, I., & Peccati, G. (2010). Stein's method meets Malliavin calculus: a short survey with new estimates. In Recent development in stochastic dynamics and stochastic analysis (pp. 207-236).Reinert, G. (2011). A short introduction to Stein’s method. Lecture Notes.
- Reinert, G. (2005). Three general approaches to Stein’s method. An introduction to Stein’s method, 4, 183-221.
- Reinert, G. (2011). Gaussian approximation of functionals: Malliavin calculus and Stein’s method. Surveys in Stochastic Processes, 4, 107.
- Rinott, Y., & Rotar, V. (2000). Normal approximations by Stein's method. Decisions in Economics and Finance, 23(1), 15-29.
- Ross, N. (2011). Fundamentals of Stein’s method. Probability Surveys, 8, 210-293.
- Upadhye, N. S., Čekanavičius, V., & Vellaisamy, P. (2017). On Stein operators for discrete approximations. Bernoulli, 23(4A), 2828-2859.
- Xia, A. (2005). Stein’s method and Poisson process approximation. An introduction to Stein’s method, 4, 115-181.