RUS  ENG
Full version
JOURNALS // Zapiski Nauchnykh Seminarov POMI // Archive

2009, Volume 368

| General information | Contents |


Probability and statistics. Part 15


From editors
A. N. Borodin, A. Yu. Zaitsev, I. A. Ibragimov, M. A. Lifshits
5
Goodness-of-fit for the Cox model from left truncated and right censored data
V. Bagdonavičius, R. Levuliené, M. S. Nikulin
7
Probabilistic approach to solution of nonlinear PDEs arising in financial mathematics
Ya. I. Belopolskaya
20
Samples without replacement: one property of distribution of range
A. Berred, V. B. Nevzorov
53
On a theorem of V. N. Sudakov on typical distributions
S. G. Bobkov
59
Distributions of the location of the maximum and minimum for diffusions with jumps
A. N. Borodin
75
On asymptotic efficiency of exponentiality tests based on Rossberg's characterization
K. Yu. Volkova
95
Rates of approximation in the multidimensional invariance principle for sums of i.i.d. random vectors with finite moments
F. Götze, A. Yu. Zaitsev
110
Homoclinic processes and invariant measures for hyperbolic toral automorphisms
M. I. Gordin
122
The measure preserving transformations of the jump Lévy process
S. S. Gribkova
130
On adaptive estimation of probability density functions
I. A. Ibragimov
141
Adaptive detection of functions of large number of variables
Yu. I. Ingster, I. A. Suslina
156
On Haar expansion of Riemann–Liouville process in a critical case
M. A. Lifshits
171
Minimax risk for quadratically convex sets
S. V. Reshetov
181
Small deviations of the maximal element of a sequence of independent variables with smooth weights
L. V. Rozovsky
190
The theorems about stochastic integral distributions convergence to signed measures and the local limit theorems for large deviations
N. V. Smorodina, M. M. Faddeev
201
On asymptotic behaviour of probabilities of large and moderate deviations for some iterated stochastic processes
A. N. Frolov
229
On Markov diffusion processes with delayed reflection from interval's boundary
B. P. Harlamov
243
A characterization and a class of omnibus tests for the exponential distribution based on the empirical characteristic function
N. Henze, S. G. Meintanis
268


© Steklov Math. Inst. of RAS, 2025