# Estimating Stochastic Poisson Intensities Using Deep Latent Models

@article{Wang2020EstimatingSP, title={Estimating Stochastic Poisson Intensities Using Deep Latent Models}, author={Ruixin Wang and Prateek Jaiswal and Harsha Honnappa}, journal={2020 Winter Simulation Conference (WSC)}, year={2020}, pages={596-607} }

We present a new method for estimating the stochastic intensity of a doubly stochastic Poisson process. Statistical and theoretical analyses of traffic traces show that these processes are appropriate models of high intensity traffic arriving at an array of service systems. The statistical estimation of the underlying latent stochastic intensity process driving the traffic model involves a rather complicated nonlinear filtering problem. We develop a novel simulation method, using deep neural…

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