no code implementations • 27 May 2024 • Aaron A. King, Qianying Lin, Edward L. Ionides
We consider genealogies arising from a Markov population process in which individuals are categorized into a discrete collection of compartments, with the requirement that individuals within the same compartment are statistically exchangeable.
no code implementations • 20 Oct 2021 • Ning Ning, Edward L. Ionides
Parameter learning for high-dimensional, partially observed, and nonlinear stochastic processes is a methodological challenge.
1 code implementation • 28 Aug 2017 • Joonha Park, Edward L. Ionides
We obtain theoretical results showing improved scaling of a GIRF algorithm, relative to widely used particle filters, as the model dimension increases.
Methodology
1 code implementation • 31 Jan 2008 • Carles Bretó, Daihai He, Edward L. Ionides, Aaron A. King
We introduce a class of implicitly specified Markov chains with stochastic transition rates, and we demonstrate its applicability to open problems in statistical inference for biological systems.
Statistics Theory Statistics Theory