I. N. Sanov, “On the probability of large deviations of random magnitudes”, Sb. Math., 84:1 (1957)

This publication is cited in the following 21 articles:

A. S. Ivanova, S. S. Omelchenko, E. V. Kotlyarova, V. V. Matyukhin, “Kalibrovka parametrov modeli rascheta matritsy korrespondentsii dlya g. Moskvy”, Kompyuternye issledovaniya i modelirovanie, 12:5 (2020), 961–978
S. L. Fong, V. Y. F. Tan, “Strong converse theorems for multimessage networks with tight cut-set bound”, Problems Inform. Transmission, 55:1 (2019), 67–100
D. R. Baymurzina, A. V. Gasnikov, E. V. Gasnikova, P. E. Dvurechenskii, E. I. Ershov, M. B. Kubentayeva, A. A. Lagunovskaya, “Universal method of searching for equilibria and stochastic equilibria in transportation networks”, Comput. Math. Math. Phys., 59:1 (2019), 19–33
A. Gasnikov, P. Dvurechensky, M. Zhukovskii, S. Kim, S. Plaunov, D. Smirnov, F. Noskov, “About the power law of the PageRank vector distribution. Part 2. Backley–Osthus model, power law verification for this model and setup of real search engines”, Num. Anal. Appl., 11:1 (2018), 16–32
V. V. Vedenyapin, S. Z. Adzhiev, V. V. Kazantseva, “Entropiya po Boltsmanu i Puankare, ekstremali Boltsmana i metod Gamiltona–Yakobi v negamiltonovoi situatsii”, Differentsialnye i funktsionalno-differentsialnye uravneniya, SMFN, 64, no. 1, Rossiiskii universitet druzhby narodov, M., 2018, 37–59
A. Gasnikov, E. Gasnikova, P. Dvurechensky, A. Mohammed, E. Chernousova, “About the power law of the PageRank vector distribution. Part 1. Numerical methods for finding the PageRank vector”, Num. Anal. Appl., 10:4 (2017), 299–312
A. V. Gasnikov, E. V. Gasnikova, M. A. Mendel, K. V. Chepurchenko, “Evolyutsionnye vyvody entropiinoi modeli rascheta matritsy korrespondentsii”, Matem. modelirovanie, 28:4 (2016), 111–124
A. V. Gasnikov, D. Yu. Dmitriev, “On efficient randomized algorithms for finding the PageRank vector”, Comput. Math. Math. Phys., 55:3 (2015), 349–365
V. V. Breer, A. D. Rogatkin, “Probabilistic model of threshold behavior in multiagent systems”, Autom. Remote Control, 76:8 (2015), 1369–1386
V. I. Bakhtin, “Spektralnyi potentsial, deistvie Kulbaka i printsip bolshikh uklonenii dlya konechno-additivnykh mer”, Tr. In-ta matem., 23:2 (2015), 11–23
V. V. Vedenyapin, S. Z. Adzhiev, “Entropy in the sense of Boltzmann and Poincaré”, Russian Math. Surveys, 69:6 (2014), 995–1029
V. I. Bakhtin, “Spectral potential, Kullback action, and large deviations of empirical measures on measurable spaces”, Theory Probab. Appl., 59:4 (2015), 535–544
A. A. Borovkov, A. A. Mogulskii, “Large deviation principles for random walk trajectories. III”, Theory Probab. Appl., 58:1 (2014), 25–37
M. S. Ermakov, “Large Deviation Principle for moderate deviation probabilities of empirical bootstrap measure”, J. Math. Sci. (N. Y.), 204:1 (2015), 90–115
Theory Probab. Appl., 57:2 (2013), 347–357
S. Z. Adzhiev, V. V. Vedenyapin, “Time averages and Boltzmann extremals for Markov chains, discrete Liouville equations, and the Kac circular model”, Comput. Math. Math. Phys., 51:11 (2011), 1942–1952
A. A. Borovkov, A. A. Mogul'skiǐ, “On large deviation principles in metric spaces”, Siberian Math. J., 51:6 (2010), 989–1003
A. A. Borovkov, “Large Sample Change-Point Estimation when Distributions Are Unknown”, Theory Probab. Appl., 53:3 (2009), 402–418
S. V. Nagaev, V. I. Chebotarev, “On the Accuracy of Gaussian Approximation in Hilbert Space”, Siberian Adv. Math., 15:1 (2005), 11–73
V. I. Piterbarg, V. R. Fatalov, “The Laplace method for probability measures in Banach spaces”, Russian Math. Surveys, 50:6 (1995), 1151–1239