International audienceThe second order statistical properties of point processes are described by the coincidence function which can be measured by a coincidence device but such measurements are long and complicated. We propose another method of measurement and we analyze its performances. The starting point is that the coincidence function can be deduced from the probability density functions of the life times (the distances between points) of the process. The idea is to transform the point process into a positive signal whose values are these distances. From an appropriate processing of this signal we deduce the coincidence function. For the validation of the method we use point processes for which the coincidence function is known. The a...
7 pagesInternational audienceThe point process, a sequence of random univariate random variables der...
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
The analysis of point patterns often begins with a test of complete spatial randomness using summari...
International audienceThe second order statistical properties of point processes are described by th...
A point process can be fully described by its coincidence prob-abilities but the expressions giving ...
International audienceThe second order statistical properties of time point processes (PP) are descr...
International audienceDead-time effects modify the statistical properties of point processes. For th...
9 pagesInternational audienceThis paper presents an algorithmic method for measurements of relaxed s...
International audienceTime point processes can be analyzed in two different ways: by the number of p...
16 pagesInternational audienceA time point process can be defined either by the statistical properti...
A new approach for point process diagnostics is presented. The method is based on extending second-...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
In this thesis we examine estimation of the K-function which is an important second-order characteri...
A new diagnostic method for point processes is here presented. It is based on their second-order ana...
This paper described a model for correcting deadtime effects in coincidence counting. The correction...
7 pagesInternational audienceThe point process, a sequence of random univariate random variables der...
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
The analysis of point patterns often begins with a test of complete spatial randomness using summari...
International audienceThe second order statistical properties of point processes are described by th...
A point process can be fully described by its coincidence prob-abilities but the expressions giving ...
International audienceThe second order statistical properties of time point processes (PP) are descr...
International audienceDead-time effects modify the statistical properties of point processes. For th...
9 pagesInternational audienceThis paper presents an algorithmic method for measurements of relaxed s...
International audienceTime point processes can be analyzed in two different ways: by the number of p...
16 pagesInternational audienceA time point process can be defined either by the statistical properti...
A new approach for point process diagnostics is presented. The method is based on extending second-...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
In this thesis we examine estimation of the K-function which is an important second-order characteri...
A new diagnostic method for point processes is here presented. It is based on their second-order ana...
This paper described a model for correcting deadtime effects in coincidence counting. The correction...
7 pagesInternational audienceThe point process, a sequence of random univariate random variables der...
Second order characteristics, in particular Ripley's K-function, are widely used for the statis...
The analysis of point patterns often begins with a test of complete spatial randomness using summari...