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Iterated filtering

Iterated filtering algorithms are a tool for maximum likelihood inference on partially observed dynamical systems. Stochastic perturbations to the… 
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Papers overview

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2018
2018
In simulation-based inferences for partially observed Markov process models (POMP), the by-product of the Monte Carlo filtering… 
2018
2018
Mathematical models have proven valuable for public health decision makers as they can provide insights into the understanding… 
2017
2017
  • Theresa Stocks
  • 2017
  • Corpus ID: 88515911
Dynamic epidemic models have proven valuable for public health decision makers as they provide useful insights into the… 
2017
2017
Infectious disease surveillance data often provides only partial information about the progression of the disease in the… 
2016
2016
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2016
2016
An iterated filtering method is presented to improve the update stage of nonlinear filtering. First, we develop a generalized… 
2015
2015
A recent special issue of the Journal of Mathematics and Music on mathematical theories of voice leading focused on the… 
Review
2015
Review
2015
Country-wide data from the 2008-2009 cholera epidemic in Zimbabwe came from the authors of Reyburn et al.4 Country-level data was… 
2007
2007
The observational and kinematic models of GPS/INS loosely integrated navigation system are introduced.In order to control the… 
2003
2003
The paper analyses the effects and problems of iterated processing in the SAR image filter, and provides a new iterated filtering…