Irina Shevtsova () (born 1983) is a Russian mathematician, Dr.Sc., and Professor at

Moscow State University Moscow State University (MSU), officially M. V. Lomonosov Moscow State University,. is a public university, public research university in Moscow, Russia. The university includes 15 research institutes, 43 faculties, more than 300 departments, a ...

. She graduated from the faculty

MSU CMC MSU Faculty of Computational Mathematics and Cybernetics (CMC) (), founded in 1970 by Andrey Tikhonov, is a part of Moscow State University. Education CMC is a Russian research and training center in the fields of applied mathematics, computing ...

(2004). She has been working at the Moscow State University since 2006. She defended the thesis "Optimization of the structure of moment estimates of the accuracy of normal approximation for distributions of sums of independent random variables" for the degree of Doctor of Physical and Mathematical Sciences in 2013. Svetsova is the author of two books and more than 70 scientific articles.Scientific works of Irina Shevtsova
/ref> Her areas of research include

central limit theorem In probability theory, the central limit theorem (CLT) states that, under appropriate conditions, the Probability distribution, distribution of a normalized version of the sample mean converges to a Normal distribution#Standard normal distributi ...

s of

probability theory Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expre ...

, estimates of the rate of

convergence Convergence may refer to: Arts and media Literature *''Convergence'' (book series), edited by Ruth Nanda Anshen *Convergence (comics), "Convergence" (comics), two separate story lines published by DC Comics: **A four-part crossover storyline that ...

, and the analytical methods of probability theory. A number of papers are devoted to refinement of estimates of the rate of convergence in the central limit theorem for sums of independent random variables under different instantaneous conditions, and also to the study of regular and asymptotically regular constants in these estimates. In particular, the upper bound for the absolute constant in the classical Berry-Esseen inequality is refined, and two-sided estimates for

asymptotically In analytic geometry, an asymptote () of a curve is a line such that the distance between the curve and the line approaches zero as one or both of the ''x'' or ''y'' coordinates tends to infinity. In projective geometry and related contexts, ...

regular constants in the Berry-Essen inequality are obtained in the absence of the third moment.

Bibliography

References

External links

* {{DEFAULTSORT:Shevtsova, Irina Russian women computer scientists Russian mathematicians Russian women mathematicians Living people Academic staff of Moscow State University 1983 births Moscow State University alumni