51 citations · 182 across the 29 of their papers we have counts for
16 papers · 1 filter
Limit distribution of the sample volume fraction of Boolean set
Hermine Biermé, Olivier Durieu, Donatas Surgailis
We study the limit distribution of the volume fraction estimator (= the Lebesgue measure of the intersection of a random set $\mathcal{X}…
Scaling transition for singular linear random fields on : spectral approach
Donatas Surgailis
We study partial sums limits of linear random fields on with spectral density tending to or to both (along different subsequence…
Scaling limits of nonlinear functions of random grain model, with application to Burgers' equation
Donatas Surgailis
We study scaling limits of nonlinear functions of random grain model on with long-range dependence and marginal Poisson distribution. Following Kaj et al (2…
Aggregation of network traffic and anisotropic scaling of random fields
Remigijus Leipus, Vytautė Pilipauskaitė, Donatas Surgailis
We discuss joint spatial-temporal scaling limits of sums (indexed by ) of large number of independent copies of integrated input proces…
Local scaling limits of Lévy driven fractional random fields
Vytautė Pilipauskaitė, Donatas Surgailis
We obtain a complete description of local anisotropic scaling limits for a class of fractional random fields on written as stochastic integral with respect to…
Scaling limits of linear random fields on with general dependence axis
Vytautė Pilipauskaitė, Donatas Surgailis
We discuss anisotropic scaling of long-range dependent linear random fields on with arbitrary dependence axis (direction in the plane along which the moving-av…
Scaling transition and edge effects for negatively dependent linear random fields on
Donatas Surgailis
We obtain a complete description of anisotropic scaling limits and the existence of scaling transition for a class of negatively dependent linear random fields on …
Anisotropic scaling limits of long-range dependent linear random fields on
Donatas Surgailis
We provide a complete description of anisotropic scaling limits of stationary linear random field on with long-range dependence and moving average coefficients de…
Invariance Principles for Tempered Fractionally Integrated Processes
Farzad Sabzikar, Donatas Surgailis
We discuss invariance principles for autoregressive tempered fractionally integrated moving averages in -stable i.i.d. innovations and related tempered linear proc…
Tempered fractional Brownian and stable motions of second kind
Farzad Sabzikar, Donatas Surgailis
Meerschaert and Sabzikar [12], [13] introduced tempered fractional Brownian/stable motion (TFBM/TFSM) by including an exponential tempering factor in the moving average representat…
Discrete-time trawl processes with long memory
Paul Doukhan, Silvia Lopes, Adam Jakubowski +1
We introduce a class of discrete time stationary trawl processes taking real or integer values and written as sums of past values of independent `seed' processes on shrinking inter…
Scaling transition for nonlinear random fields with long-range dependence
Vytautė Pilipauskaitė, Donatas Surgailis
We obtain a complete description of anisotropic scaling limits and the existence of scaling transition for nonlinear functions (Appell polynomials) of stationary linear random fiel…
Anisotropic scaling of random grain model with application to network traffic
Vytautė Pilipauskaitė, Donatas Surgailis
We obtain a complete description of anisotropic scaling limits of random grain model on the plane with heavy tailed grain area distribution. The scaling limits have either independ…
On the mixing structure of stationary increment and self-similar symmetric α-stable processes
Donatas Surgailis, Jan Rosinski, V. Mandrekar +1
Mixed moving average processes appear in the ergodic decomposition of stationary symmetric α-stable (SαS) processes. They correspond to the dissipative part of "deterministic" flow…
The Discrete and Continuum Broken Line Process
Leonardo T. Rolla, Vladas Sidoravicius, Donatas Surgailis +1
In this work we introduce the discrete-space broken line process (with discrete and continues parameter values) and derive some of its properties. We explore polygonal Markov field…
Covariance function of vector self-similar process
Frédéric Lavancier, Anne Philippe, Donatas Surgailis
The paper obtains the general form of the cross-covariance function of vector fractional Brownian motion with correlated components having different self-similarity indices.