Stochastic point processes and multicoincidences
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Summary
In this paper stochastic point processes are studied by means of coincidence probabilities (CP) and it is shown that they provide a complete statistical description of the PP.
- Type
- article
- Published
- 1971-01-01
- Cited by
- 21
- References
- 10
- OpenAlex
- https://openalex.org/W2119404122
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:203454
Keywords
Coincidence, Point process, Stochastic process, Point (geometry), Noise (video)
References
- Probability: theory and applications
- Theoretical Model of Reverberation Noise
- Theory of Electromagnetic Field Measurement and Photoelectron Counting
- Random Sampling of Random Processes: Stationary Point Processes
- N-Fold Joint Photon Counting Distributions Associated with the Photodetection of Gaussian Light
- FLUCTUATIONS OF BEAMS OF QUANTUM PARTICLES.
- N-time joint photon counting distributions for Gaussian light
- Correlation Function and Power Spectrun of Randomly Shaped Pulse Trains
- The theory of stationary point processes
- Photoelectron Shot Noise
- Theory of Random Functions
- Fluctations of Beams of Quantum Particles
Cited by
- Ad-hoc models for two-photon detectors
- Statistical inference for a class of multivariate negative binomial distributions
- A definition of quantum detection point processes
- Renewal processes and fluctuation analysis of molecular motor stepping
- Some properties of the point processes generated by integral density modulation of renewal processes
- The coincidence approach to stochastic point processes
- Recent progress in stochastic processes-A survey
- Detection and ``emission'' processes of quantum particles in a ``chaotic state''
- A Model for Positively Correlated Count Variables
- Estimation and detection of weak optical signals
- Properties and simulation of α-permanental random fields
- Likelihood Based Inference and Diagnostics for Spatial Data Models
- On random sampling with nodes attraction: The case of Gauss-Poisson process
- Coincidence functions and Bartlett spectra of point processes
- Localization With Joint Diffusion-Based Molecular Communication and Sensing Systems: Fundamental Limits and Tradeoffs
- Self-Exciting Point Processes
- Aalborg Universitet Properties and simulation of-permanental random fields
- Likelihood Based Inference and Diagnostics for Spatial Data Models
- TWO-PHOTON DETECTORS
- Comparative Aspects of the Study of Ordinary Time Series and of Point Processes
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