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stat.ME2025
Poisson Approximate Likelihood versus the block particle filter for a spatiotemporal measles model
Kunyang He, Yize Hao, Edward L. Ionides
Filtering algorithms for high-dimensional nonlinear non-Gaussian partially observed stochastic processes provide access to the likelihood function and hence enable likelihood-based…
stat.ME2024
Poisson approximate likelihood compared to the particle filter
Yize Hao, Aaron A. Abkemeier, Edward L. Ionides
Filtering algorithms are fundamental for inference on partially observed stochastic dynamic systems, since they provide access to the likelihood function and hence enable likelihoo…