Lithuanian Mathematical Journal

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Nonuniform estimates of convergence rate in local theorems for the maximum of sums of independent random variables
Lithuanian Mathematical Journal - Tập 17 - Trang 305-312 - 1977
V. V. Naudžiūnienė
Asymptotically homogeneous iterated random functions with applications to the HARCH process
Lithuanian Mathematical Journal - Tập 49 - Trang 26-39 - 2009
V. Kazakevičius, V. Skorniakov
We show that a certain class of Markov chains satisfies the general Foster–Lyapunov condition under nonrestrictive assumptions. In particular, if a chain belongs to this class, the existence of an invariant measure can be established by means of the theorem provided. As an application of the theorem, the HARCH process is considered.
Calculation of the nearest integer
Lithuanian Mathematical Journal - Tập 28 - Trang 140-152 - 1988
K. Bulota
Rates of convergence in the asymptotic normality for some local maximum estimators
Lithuanian Mathematical Journal - Tập 36 - Trang 68-91 - 1996
V. Paulauskas
A “zero-one” law for diophantine approximations
Lithuanian Mathematical Journal - - 1996
Vilius Stakénas
Cramér-Rao bound for the estimates of frequencies and damping factors of quasipolynomials in noise
Lithuanian Mathematical Journal - Tập 32 - Trang 327-333 - 1992
V. Slivinskas, M. Radavičius, V. Šimonytė
On dual brownian motions with oblique reflection
Lithuanian Mathematical Journal - Tập 14 - Trang 227-232 - 1974
R. Kudžma, D. Surgailis
Goodness-of-fit tests based on the empirical characteristic function
Lithuanian Mathematical Journal - - 2017
Aleksej Bakshaev, Римантас Рудзкис
The weak and strong asymptotic equivalence relations and the generalized inverse*
Lithuanian Mathematical Journal - Tập 51 Số 4 - Trang 472-476 - 2011
Dragan Djurčić, Rale M. Nikolić, Aleksandar Torgašev
Compound Poisson Approximations to Sums of Extrema of Bernoulli Variables
Lithuanian Mathematical Journal - Tập 62 - Trang 481-499 - 2022
Gabija Liaudanskaite, Vydas Čekanavičius
Let Sn = X1 + X2 + · · · + Xn, where Xj = max(ξj, ξj+1), and ξ1, ξ2, . . . , ξn+1 are independent Bernoulli random variables. If all P(ξj = 1) are small, then we approximate Sn by a compound Poisson random variable with two matching moments. If all P(ξj = 1) are large, then we apply compound Poisson and negative binomial approximations to n − Sn. We estimate the accuracy of approximation in the to...... hiện toàn bộ
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