research
∙
06/08/2022
An iterated block particle filter for inference on coupled dynamic systems with shared and unit-specific parameters
We consider inference for a collection of partially observed, stochastic...
share
research
∙
10/20/2021
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Parameter learning for high-dimensional, partially observed, and nonline...
research
∙
06/18/2021
Systemic Infinitesimal Over-dispersion on General Stochastic Graphical Models
Stochastic models of interacting populations have crucial roles in scien...
research
∙
05/26/2021
Markov Genealogy Processes
We construct a family of genealogy-valued Markov processes that are indu...
research
∙
02/25/2020
The Moran Genealogy Process
We give a novel representation of the Moran Genealogy Process, a continu...
research
∙
02/12/2020
Island filters for partially observed spatiotemporal systems
Statistical inference for high-dimensional partially observed, nonlinear...
research
∙
01/17/2018
