Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe several new algorithms for particle flow using non-zero diffusion with optimal Q as ll as suboptimal Q. The purpose of using optimal Q is two fold: improve estimation accuracy of the state vector and improve the accuracy of uncertainty quantification. Q is the covariance matrix of the diffusion for particle flow corresponding to Bayes' rule.
['Fred Daum']
I am writing a research paper on a idea Seven dubious methods to compute optimal Q for Bayesian stochastic particle flow
[{"from": "human", "value": "I am writing a research paper on a idea Seven dubious methods to compute optimal Q for Bayesian stochastic particle flow"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe several new algorithms for particle flow using non-zero diffusion with optimal Q as ll as suboptimal Q. The purpose of using optimal Q is two fold: improve estimation accuracy of the state vector and improve the accuracy of uncertainty quantification. Q is the covariance matrix of the diffusion for particle flow corresponding to Bayes' rule."}]