The effect of a stochastic displacement field on a statistically independent point process is analyzed. Stochastic displacement fields can be divided into two large classes: spatially correlated and uncorrelated. For both cases exact transformation equations for the two-point correlation function and the power spectrum of the point process are found, and a detailed study of them with important paradigmatic examples is done. The results are general and in any dimension. Particular attention is devoted to the kind of large-scale correlations that can be introduced by the displacement field and to the realizability of arbitrary "superhomogeneous" point processes
Ovaskainen O, Finkelshtein D, Kutoviy O, Cornell S, Bolker B, Kondratiev Y. A general mathematical f...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
In Part I of this thesis, we briefly summarize some theory of point processes which is crucial for ...
The effect of a stochastic displacement field on a statistically independent point process is analyz...
From the exact single step evolution equation of the two-point correlation function of a particle di...
Abstract. From the exact single step evolution equation of the two-point correlation function of a p...
We study how the two-point density correlation properties of a point particle distribution are modif...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
Although many studies of marked point processes analyse patterns in terms of purely spatial relation...
The general theory of point processes has in the past been focused on temporal developments. In this...
We summarize and discuss the current state of spatial point process theory and directions for future...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
We develop a canonical framework for the study of the problem of registration of multiple point proc...
The aim of this thesis is to analyze several aspects of dependence structures for stochastic process...
The thesis deals with Cox point processes driven by processes of Ornstein-Uhlenbeck (OU) type. Proce...
Ovaskainen O, Finkelshtein D, Kutoviy O, Cornell S, Bolker B, Kondratiev Y. A general mathematical f...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
In Part I of this thesis, we briefly summarize some theory of point processes which is crucial for ...
The effect of a stochastic displacement field on a statistically independent point process is analyz...
From the exact single step evolution equation of the two-point correlation function of a particle di...
Abstract. From the exact single step evolution equation of the two-point correlation function of a p...
We study how the two-point density correlation properties of a point particle distribution are modif...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
Although many studies of marked point processes analyse patterns in terms of purely spatial relation...
The general theory of point processes has in the past been focused on temporal developments. In this...
We summarize and discuss the current state of spatial point process theory and directions for future...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
We develop a canonical framework for the study of the problem of registration of multiple point proc...
The aim of this thesis is to analyze several aspects of dependence structures for stochastic process...
The thesis deals with Cox point processes driven by processes of Ornstein-Uhlenbeck (OU) type. Proce...
Ovaskainen O, Finkelshtein D, Kutoviy O, Cornell S, Bolker B, Kondratiev Y. A general mathematical f...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
In Part I of this thesis, we briefly summarize some theory of point processes which is crucial for ...