Zobrazeno 1 - 10
of 996
pro vyhledávání: '"King, Aaron A."'
Panel data arise when time series measurements are collected from multiple, dynamically independent but structurally related systems. In such cases, each system's time series can be modeled as a partially observed Markov process (POMP), and the ensem
Externí odkaz:
http://arxiv.org/abs/2410.07934
The R package panelPomp supports analysis of panel data via a general class of partially observed Markov process models (PanelPOMP). This package tutorial describes how the mathematical concept of a PanelPOMP is represented in the software and demons
Externí odkaz:
http://arxiv.org/abs/2409.03876
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. When e
Externí odkaz:
http://arxiv.org/abs/2405.17032
Mathematical models in ecology and epidemiology must be consistent with observed data in order to generate reliable knowledge and evidence-based policy. Metapopulation systems, which consist of a network of connected sub-populations, pose technical c
Externí odkaz:
http://arxiv.org/abs/2311.06702
Publikováno v:
Theoretical Population Biology 143:77-91 (2022)
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 given genealogy conditional on the history of the underlying population pr
Externí odkaz:
http://arxiv.org/abs/2105.12730
We describe a computational framework for modeling and statistical inference on high-dimensional stochastic dynamic systems. Our primary motivation is the investigation of metapopulation dynamics arising from a collection of spatially distributed, in
Externí odkaz:
http://arxiv.org/abs/2101.01157
We define the Sampled Moran Genealogy Process, a continuous-time Markov process on the space of genealogies with the demography of the classical Moran process, sampled through time. To do so, we begin by defining the Moran Genealogy Process using a n
Externí odkaz:
http://arxiv.org/abs/2002.11184
Bagging (i.e., bootstrap aggregating) involves combining an ensemble of bootstrap estimators. We consider bagging for inference from noisy or incomplete measurements on a collection of interacting stochastic dynamic systems. Each system is called a u
Externí odkaz:
http://arxiv.org/abs/2002.05211
Autor:
Auger-Méthé, Marie, Newman, Ken, Cole, Diana, Empacher, Fanny, Gryba, Rowenna, King, Aaron A., Leos-Barajas, Vianney, Flemming, Joanna Mills, Nielsen, Anders, Petris, Giovanni, Thomas, Len
State-space models (SSMs) are an important modeling framework for analyzing ecological time series. These hierarchical models are commonly used to model population dynamics, animal movement, and capture-recapture data, and are now increasingly being
Externí odkaz:
http://arxiv.org/abs/2002.02001
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