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1986
One of the most important processes occurring in nature is the Poisson point process. It is therefore important to understand how such processes can be simulated. The methods of simulation vary with the type of Poisson point process, i.e. with the space in which the process occurs, and with the homogeneity or nonhomogeneity of the process.
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One of the most important processes occurring in nature is the Poisson point process. It is therefore important to understand how such processes can be simulated. The methods of simulation vary with the type of Poisson point process, i.e. with the space in which the process occurs, and with the homogeneity or nonhomogeneity of the process.
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1974
We now consider stochastic processes in which changes of state occur at random time points. First we define the Poisson process {N 0t : t ∈ [0, ∞)}, which gives the times of these jumps. Let rv N tτ be the number of point events which occur in time interval (t, τ]. If the stochastic process {N 0t : t ∈ [0, ∞)} is (i) time independent, i.e.
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We now consider stochastic processes in which changes of state occur at random time points. First we define the Poisson process {N 0t : t ∈ [0, ∞)}, which gives the times of these jumps. Let rv N tτ be the number of point events which occur in time interval (t, τ]. If the stochastic process {N 0t : t ∈ [0, ∞)} is (i) time independent, i.e.
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Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
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Poisson generalized gamma process and its properties
Stochastics, 2021Ji Hwan Cha, Sophie Mercier
exaly
On a study of the exponential and Poisson characteristics of the Poisson process
Metrika, 2000Wen-Jang Huang
exaly
Zero-inflated Poisson model in statistical process control
Computational Statistics and Data Analysis, 2001T N Goh
exaly