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