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1993, Volume 202
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General information
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Contents
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Statistics and control of stochastic processes
Foreword
A. A. Novikov, A. N. Shiryaev
3
On estimation of a parameter for systems with physical white noise
A. A. Afanas'ev
4–10
Linear filtering under dependent white and wide-band noises
A. E. Bashirov
11–24
Some random environments statistical problems for observable birth-and-death processes
A. A. Butov
25–32
On large deviations in the averaging principle for stochastic difference equations on a torus
A. Yu. Veretennikov
33–41
On the convergence of sequences of semimartingales and their components
A. A. Gushchin
42–119
Optimal stopping of a nonterminating homogeneous standard Markov process on a finite time interval
V. M. Dochviri
120–131
Optimality of generalized CUSUM procedure in quickest detection problem
V. P. Dragalin
132–148
Guaranteed estimation of autoregression parameters on the basis of a sequential correlational method
V. V. Konev, S. M. Pergamenshchikov
149–169
On a proof of Itô's formula
N. V. Krylov
170–174
The Bogolyubov averaging principle for semimartingales
R. Sh. Liptser
175–189
On asymptotic properties of estimates under sequential design
M. B. Malyutov, L. A. Orna Uaraka, V. G. Spokoiny
190–208
Limit theorems for the first passage time of autoregression process over a level
A. A. Novikov, B. A. Èrgashev
209–233
Lower bound for the expected size of a learning sample for sequential pattern recognition procedures
I. V. Pavlov
234–245
On solvability and averaging for stochastic functional-differential equations with respect to a semimartingale
A. E. Rodkina
246–257
On construction of optimal strategies of parameter estimation for controllable systems
V. G. Spokoiny
258–281
On the concept of
$\lambda$
-convergence of statistical experiments
V. G. Spokoiny, A. N. Shiryaev
282–286
Asymptotically minimax multialternative sequential rule for disorder detection
A. G. Tartakovskii
287–295
Canonical representation of a Gaussian semimartingale and the innovation
M. Hitsuda
296–302
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