320 citations · 760 across the 27 of their papers we have counts for
4 papers · 1 filter
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Ning Ning, Edward L. Ionides
Parameter learning for high-dimensional, partially observed, and nonlinear stochastic processes is a methodological challenge. Spatiotemporal disease transmission systems provide e…
Systemic Infinitesimal Over-dispersion on Graphical Dynamic Models
Ning Ning, Edward L. Ionides
Stochastic models for collections of interacting populations have crucial roles in scientific fields such as epidemiology and ecology, yet the standard approach to extending an ord…
Markov Genealogy Processes
Aaron A. King, Qianying Lin, Edward L. Ionides
We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. We derive exact expressions for the likelihood of a give…
A tutorial on spatiotemporal partially observed Markov process models via the R package spatPomp
Kidus Asfaw, Joonha Park, Aaron A. King +1
We describe a computational framework for modeling and statistical inference on high-dimensional stochastic dynamic systems. Our primary motivation is the investigation of metapopu…