Sequent correlations play a vital role in the study of stochastic point processes. In this paper we demonstrate the feasibility of defining a single characteristic functional from which various types of sequent correlations useful in braching phenomena can be obtained by appropriate functional differentiation
A point process as the special type of a random stochastic process is a theoretical model for occurr...
The effect of a stochastic displacement field on a statistically independent point process is analyz...
The paper deals with real stationary processes with a stable correlation function, with the distribu...
Sequent correlations in multiplicative stochastic processes are defined with the aid of product dens...
AbstractWe study the extension of canonical correlation from pairs of random vectors to the case whe...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
This work is unique as it provides a uniform treatment of the Fourier theories of functions (Fourier...
International audienceThis work is unique as it provides a uniform treatment of the Fourier theories...
AbstractA representation for the probability generating functional (p.g.fl.) of a regular infinitely...
In a previous contribution to these Proceedings (Ramakrishnan(1)) the concept of product density was...
Massachusetts Institute of Technology. Dept. of Geology and Geophysics. Thesis. 1965. Ph.D.Ph.D
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
The work covers the Gaussian random processes. The aim is to construct the correlation function eval...
We study the extension of canonical correlation from pairs of random vectors to the case where a dat...
We consider the problem of defining a measure of association between multiple point processes. Motiv...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
The effect of a stochastic displacement field on a statistically independent point process is analyz...
The paper deals with real stationary processes with a stable correlation function, with the distribu...
Sequent correlations in multiplicative stochastic processes are defined with the aid of product dens...
AbstractWe study the extension of canonical correlation from pairs of random vectors to the case whe...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
This work is unique as it provides a uniform treatment of the Fourier theories of functions (Fourier...
International audienceThis work is unique as it provides a uniform treatment of the Fourier theories...
AbstractA representation for the probability generating functional (p.g.fl.) of a regular infinitely...
In a previous contribution to these Proceedings (Ramakrishnan(1)) the concept of product density was...
Massachusetts Institute of Technology. Dept. of Geology and Geophysics. Thesis. 1965. Ph.D.Ph.D
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
The work covers the Gaussian random processes. The aim is to construct the correlation function eval...
We study the extension of canonical correlation from pairs of random vectors to the case where a dat...
We consider the problem of defining a measure of association between multiple point processes. Motiv...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
The effect of a stochastic displacement field on a statistically independent point process is analyz...
The paper deals with real stationary processes with a stable correlation function, with the distribu...
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