What is a point process? How does a point process model events occurring in space or time?

Apr 28, 2024 ... It is shown that Bayesian updates can be characterized as additional informational drift in the underlying asset's stochastic process. Applying sequential measurements yields classical stochastic processes whose informational properties are bounded by those of the underlying quantum process. Jun 6, 2018 ... Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While ... ... Stochastic Processes and their Ap- plications, 74 (2) 195-201, 1998. 21 ... gineering and Informational Science, 18 (4) 493-502, 2004. 26. Zazanis ... Feb 20, 2007 ... Efficient tools to characterize stochastic processes are discussed. Quantifiers originally proposed within the framework of information ... ... information to solve engineering and technology problems by different methods. ... processes, r th order Markov chains, time series as stochastic processes. ... stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us to build a ... ufacturing systems, information economics, stochastic processes and performance model- ing for capacity planning and pricing. Seidmann has consulted with ... The second process takes two fragments and mixes their informational ... Information Fusion Based on Stochastic Processes and Quantum Mechanics. Appl ... ... stochastic process, whether the original process is Markovian or not. ... information sharing called "informational coherence". Informational coherence, in ...