In this paper Kolmogorov's work in mathematical statistics is reviewed. The main areas under discussion are: the idea of sufficiency, linear models and unbiased estimators. The relationship of Kolmogorov's contributions with modern statistical theory, in particular, with Bayesian analysis, is analyzed.
"Kolmogorov's Contributions to Mathematical Statistics." Ann. Statist. 18 (3) 1011 - 1016, September, 1990. https://doi.org/10.1214/aos/1176347737