Sequent correlations in multiplicative stochastic processes are defined with the aid of product densities associated with the process. Such sequent correlations describe the process in a more detailed manner than the conventional correlations especially with regard to the parametric values characterizing the process. The evolution of any particular member of the multiplicative entities in the parameter is brought out by the sequent correlations. It is found that such types of correlation functions are very useful in the description of electromagnetic and perhaps nucleon cascades. To demonstrate this possibility, correlation functions of the first few orders are evaluated for the simple case of electron-photon cascade
The two-particle correlations in a turbulent plasma are analyzed on a quite general basis by using t...
doi:10.1088/1742-5468/2005/10/P10004 Abstract. We study the stochastic dynamics of sequences evolvin...
A new expansion method to obtain time correlation functions and large deviation sta-tistical charact...
Sequent correlations in multiplicative stochastic processes are defined with the aid of product dens...
In a previous contribution to these Proceedings (Ramakrishnan(1)) the concept of product density was...
Sequent correlations play a vital role in the study of stochastic point processes. In this paper we ...
The present note extends to the actual cascade process a result already established by Scott and Uhl...
The fluctuation problem in cascade theory is viewed from the standpoint of the invariant imbedding m...
We study how the two-point density correlation properties of a point particle distribution are modif...
AbstractThe fluctuation problem in cascade theory is viewed from the standpoint of the invariant imb...
Many stochastic problems arise in physics where we have to deal with a stochastic variable represent...
It is suggested and demonstrated that two specific 2-dimensional correlation patterns, fixed-to-arbi...
International audienceThis work is unique as it provides a uniform treatment of the Fourier theories...
This work is unique as it provides a uniform treatment of the Fourier theories of functions (Fourier...
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
The two-particle correlations in a turbulent plasma are analyzed on a quite general basis by using t...
doi:10.1088/1742-5468/2005/10/P10004 Abstract. We study the stochastic dynamics of sequences evolvin...
A new expansion method to obtain time correlation functions and large deviation sta-tistical charact...
Sequent correlations in multiplicative stochastic processes are defined with the aid of product dens...
In a previous contribution to these Proceedings (Ramakrishnan(1)) the concept of product density was...
Sequent correlations play a vital role in the study of stochastic point processes. In this paper we ...
The present note extends to the actual cascade process a result already established by Scott and Uhl...
The fluctuation problem in cascade theory is viewed from the standpoint of the invariant imbedding m...
We study how the two-point density correlation properties of a point particle distribution are modif...
AbstractThe fluctuation problem in cascade theory is viewed from the standpoint of the invariant imb...
Many stochastic problems arise in physics where we have to deal with a stochastic variable represent...
It is suggested and demonstrated that two specific 2-dimensional correlation patterns, fixed-to-arbi...
International audienceThis work is unique as it provides a uniform treatment of the Fourier theories...
This work is unique as it provides a uniform treatment of the Fourier theories of functions (Fourier...
AbstractA general notion of canonical correlation is developed that extends the classical multivaria...
The two-particle correlations in a turbulent plasma are analyzed on a quite general basis by using t...
doi:10.1088/1742-5468/2005/10/P10004 Abstract. We study the stochastic dynamics of sequences evolvin...
A new expansion method to obtain time correlation functions and large deviation sta-tistical charact...