Search Results for author: Edward L. Ionides

Found 3 papers, 2 papers with code

Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality

no code implementations20 Oct 2021 Ning Ning, Edward L. Ionides

Parameter learning for high-dimensional, partially observed, and nonlinear stochastic processes is a methodological challenge.

A guided intermediate resampling particle filter for inference on high dimensional systems

1 code implementation28 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.


Time series analysis via mechanistic models

1 code implementation31 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

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