Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Doubly stochastic point processes driven by non-Gaussian Ornstein-Uhlenbeck type processes are studied. The problem of nonlinear filtering is investigated. For temporal point processes the characteristic form for the differential generator of the driving process is used to obtain a stochastic differential equation for the conditional distribution. The main result in the spatio-temporal case leads to the filtering equation for the conditional mean.
['Michaela Prokešová', 'Viktor Beneš']
I am writing a research paper on a idea Nonlinear filtering in spatio-temporal doubly stochastic point processes driven by OU processes.
[{"from": "human", "value": "I am writing a research paper on a idea Nonlinear filtering in spatio-temporal doubly stochastic point processes driven by OU processes."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Doubly stochastic point processes driven by non-Gaussian Ornstein-Uhlenbeck type processes are studied. The problem of nonlinear filtering is investigated. For temporal point processes the characteristic form for the differential generator of the driving process is used to obtain a stochastic differential equation for the conditional distribution. The main result in the spatio-temporal case leads to the filtering equation for the conditional mean."}]