Results 21 to 30 of about 134,549 (310)
Bi-Poisson processes are defined as a two-parameter family of processes with linear regressions and linear conditional variances. We give conditions for the existence and uniqueness of such processes. We point out that one-dimensional distributions of the bi-Poisson process are closed under a generalized free convolution introduced by Bożejko and ...
Bryc, Włodzimierz, Wesołowski, Jacek
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Poisson inverse problems [PDF]
In this paper we focus on nonparametric estimators in inverse problems for Poisson processes involving the use of wavelet decompositions. Adopting an adaptive wavelet Galerkin discretization, we find that our method combines the well-known theoretical ...
Antoniadis, Anestis, Bigot, Jérémie
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A New Estimator Based on Likelihood Function for Drift Time of Change in Poisson Rate Parameter [PDF]
Although a control chart can signal an out-of-control state in a process, but it does not always indicate when the process change has begun. Identifying the real time of the change in the process, called the change point, is very important for ...
R. Hosseiny +2 more
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Percolation on a non-homogeneous Poisson blob process [PDF]
We present the main results of a study for the existence of vacant and occupied unbounded connected components in a non-homogeneous Poisson blob process. The method used in the proofs is a multi-scale percolation comparison.
Fabio P. Machado
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Introducing Plithogenic Stochastic Processes with an Application to Poisson Process [PDF]
In this paper, we study and define the mathematical form of plithogenic stochastic processes PSP based on set of three classic stochastic processes. This new definition is a generalization of neutrosophic stochastic process.
Abdulrahman Astambli +2 more
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Investigating Levy's model in financial series prediction(case of vanilla option) [PDF]
In recent years, there has been growing interest in the application of stochastic processes to model financial markets, particularly in the pricing and prediction of derivative instruments such as options. One of the more advanced models that has emerged
Seyed Jalal Tabatabaei
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In addition to monitoring the Poisson mean rate with step shifts, increasing attention has been given to monitoring Poisson processes subject to linear trends.
Honghao Zhao +3 more
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Lattice permutations and Poisson-Dirichlet distribution of cycle lengths [PDF]
We study random spatial permutations on ℤ3 where each jump x↦π(x) is penalized by a factor e−T∥x−π(x)∥2 . The system is known to exhibit a phase transition for low enough T where macroscopic cycles appear.
Daniel Ueltschi +6 more
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Prediction Limits for Poisson INAR(1) Process
We discuss the problem of deriving an estimative prediction limit as well as a simulation-based improved prediction limit for a future realization from the stationary, first-order Poisson INAR(1) process.
Khreshna Syuhada +2 more
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Markov chains and applications
This work has three important purposes: first it is the study of Markov Chains, the second is to show that Markov chains have different applications and finally it is to model a process of this behaves. Throughout this work we will describe what a Markov
Mississippi Valenzuela
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