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A Guide to the Russian Academy of Sciences - University of Texas ...

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Kolmogorov); 2. Asymp<strong>to</strong>tic methods <strong>of</strong> Probability Theory and Statistics (A. Ya.<br />

Khinchin, A. N. Kolmogorov, N. V. Smirnov, Iurii V. Prokhorov, D. M.<br />

Chibisov, V. V. Sazonov, and V. M. Zolotarev); 3. Theory <strong>of</strong> random processes<br />

and fields, including information <strong>the</strong>ory (A. Ya. Khinchin, and A. N.<br />

Kolmogorov), purely iump processes (A. Ya. Khinchin, and B. A. Sevast'yanov),<br />

foundations <strong>of</strong> statistical mechanics and quantum statistics (A. Ya. Khinchin and<br />

later A. S. Holevo), stationary processes and fields (A. N. Kolmogorov, Iurii A.<br />

Ozanov, for more details see <strong>the</strong> section on Labora<strong>to</strong>ry <strong>of</strong> s<strong>to</strong>chastic processes and<br />

fields), s<strong>to</strong>chastic control (A. N. Kolmogorov, and A. N. Shiryaev, for more<br />

details see <strong>the</strong> section on Labora<strong>to</strong>ry <strong>of</strong> statistics <strong>of</strong> s<strong>to</strong>chastic processes), branching<br />

processes.<br />

The <strong>the</strong>ory <strong>of</strong> branching processes, which originated in <strong>the</strong> 1940s in A. N. Kolmogorov's<br />

school, was subsequently developed by B. A. Sevast'yanov and his students and<br />

followers V. P. Chistyakov, V. F. Kolchin, A. M. Zubkov, V. A. Vatutin. From<br />

<strong>the</strong> middle <strong>of</strong> <strong>the</strong> 1960s, active investigation <strong>of</strong> a number <strong>of</strong> probability problems in<br />

discrete ma<strong>the</strong>matics (random all locations <strong>of</strong> particles, random maps, random<br />

graphs, distribution <strong>of</strong> s-tuples in random sequences etc.) were carried out by B. A.<br />

Sevast'yanov, V. P. Chistyakov, V. F. Kolchin, A. M. Zubkov, V. G. Mikhailov.<br />

In Statistics, <strong>the</strong> main directions <strong>of</strong> <strong>the</strong>oretical research were nonparametric<br />

methods, properties <strong>of</strong> order statistics, asymp<strong>to</strong>tic <strong>the</strong>ory <strong>of</strong> different tests (N. V.<br />

Smirnov, A. N. Kolmogorov, L. N. Bol'shev, N. N. Chentsov, and D. M.<br />

Chibisov).<br />

14. Labora<strong>to</strong>ry <strong>of</strong> Statistics <strong>of</strong> S<strong>to</strong>chastic Processes <strong>of</strong> <strong>the</strong> Department <strong>of</strong><br />

Probability Theory and Ma<strong>the</strong>matical Statistics: The staff <strong>of</strong> <strong>the</strong><br />

Labora<strong>to</strong>ry <strong>of</strong> Statistics <strong>of</strong> S<strong>to</strong>chastic Processes are: A. N. Shiryaev (Head <strong>of</strong><br />

Labora<strong>to</strong>ry), A. A. Novikov, A. V. Mel'nikov, D. D. Kramkov.<br />

In 1957-1960, members <strong>of</strong> <strong>the</strong> Steklov Ma<strong>the</strong>matical Institute V. P. Leonov and A. N.<br />

Shiryaev, under supervision <strong>of</strong> A. N. Kolmogorov (in connection with some<br />

nonlinear problems <strong>of</strong> <strong>the</strong> <strong>the</strong>ory <strong>of</strong> s<strong>to</strong>chastic processes and needs <strong>of</strong><br />

radiotechnics) developed a technique <strong>of</strong> handling moments and semi-invariants <strong>of</strong><br />

high orders. This technique is applicable <strong>to</strong> many problems in nonlinear analysis<br />

and nonlinear transformations <strong>of</strong> s<strong>to</strong>chastic processes, as well as <strong>to</strong> pro<strong>of</strong>s <strong>of</strong> limit<br />

<strong>the</strong>orems <strong>of</strong> probability <strong>the</strong>ory.<br />

In 1959, A. N. Kolmogorov and A. N. Shiryaev started research (originated from<br />

problems in radio location) devoted <strong>to</strong> <strong>the</strong> development <strong>of</strong> methods <strong>of</strong> fastest<br />

detection <strong>of</strong> changes <strong>of</strong> characteristics <strong>of</strong> observed data (``<strong>the</strong> change point<br />

problem''). Not only <strong>the</strong> problems suggested by radio engineers were solved, but a<br />

large scale investigation <strong>of</strong> optimal s<strong>to</strong>pping rules was initiated, which was<br />

fundamental for <strong>the</strong> optimal s<strong>to</strong>chastic control and was summed up in A. N.<br />

Shiryaev's monograph ``Statistical sequential analysis''.<br />

``The change point problem'' revealed <strong>the</strong> importance <strong>of</strong> investigation <strong>of</strong> problems <strong>of</strong><br />

optimal nonlinear filtration. A detailed exposition <strong>of</strong> <strong>the</strong> relevant <strong>the</strong>ory and its<br />

applications is given in R. S. Liptser and A. N. Shiryaev's monograph ``Statistics<br />

<strong>of</strong> s<strong>to</strong>chastic processes''.<br />

In subsequent years A. N. Shiryaev jointly with his students and colleagues (in particular<br />

A. V. Mel'nikov and A. A. Novikov from <strong>the</strong> Labora<strong>to</strong>ry) systematically studied<br />

s<strong>to</strong>chastic processes <strong>of</strong> martingale types. Martingales, semi-martingales and related<br />

s<strong>to</strong>chastic calculus, <strong>to</strong>ge<strong>the</strong>r with stationary and Markov processes, constitute one<br />

75

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