AbstractThe aim of the present paper is to discuss three types of coincidence properties (EPSTA, CEPSTA, MUSTA) of stationary continuous-time stochastic processes with embedded point processes. It turns out that not only EPSTA and CEPSTA, but also MUSTA can be characterized by certain invariance properties of conditional intensities of the embedded point processes
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
The object of research is the process of mathematical modelling of a multidimensional random signal,...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
For birth and death processes with finite state space consisting of N + 1 points (N ≥ 2), we conside...
The work is mainly concerned with the general theory of stationary point processes and the theory of...
The aim of the paper is to understand how the inclusion of more and more time scales into a stochast...
We analyse several aspects of a class of simple counting processes that can emerge in some fields of...
AbstractThese are processes A whose conditional laws, given some driving process X, are those of a p...
We are studying stationary random processes with conditional polynomial moments that allow a continu...
The object of research is the process of mathematical modelling of a multidimensional random signal,...
AbstractWe study the structure of point processes N with the property that the P(θtN∈·|Ft) vary in a...
The coincidence points existence problem with a parameter is considered. Sufficient conditions for d...
For any point process in Rd that has a Papangelou conditional intensity λ, we define a random measur...
This paper relates – for point processes Φ on R – two types of asymptotic mean stationarity (AMS) pr...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
The object of research is the process of mathematical modelling of a multidimensional random signal,...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
For birth and death processes with finite state space consisting of N + 1 points (N ≥ 2), we conside...
The work is mainly concerned with the general theory of stationary point processes and the theory of...
The aim of the paper is to understand how the inclusion of more and more time scales into a stochast...
We analyse several aspects of a class of simple counting processes that can emerge in some fields of...
AbstractThese are processes A whose conditional laws, given some driving process X, are those of a p...
We are studying stationary random processes with conditional polynomial moments that allow a continu...
The object of research is the process of mathematical modelling of a multidimensional random signal,...
AbstractWe study the structure of point processes N with the property that the P(θtN∈·|Ft) vary in a...
The coincidence points existence problem with a parameter is considered. Sufficient conditions for d...
For any point process in Rd that has a Papangelou conditional intensity λ, we define a random measur...
This paper relates – for point processes Φ on R – two types of asymptotic mean stationarity (AMS) pr...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
The object of research is the process of mathematical modelling of a multidimensional random signal,...
A point process as the special type of a random stochastic process is a theoretical model for occurr...