9 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.CO2023
Properties of Marginal Sequential Monte Carlo Methods
Francesca R. Crucinio, Adam M. Johansen
We provide a framework which admits a number of ``marginal'' sequential Monte Carlo (SMC) algorithms as particular cases -- including the marginal particle filter [Klaas et al., 20…
stat.CO2016★ 9 cited
On embedded hidden Markov models and particle Markov chain Monte Carlo methods
Axel Finke, Arnaud Doucet, Adam M. Johansen
The embedded hidden Markov model (EHMM) sampling method is a Markov chain Monte Carlo (MCMC) technique for state inference in non-linear non-Gaussian state-space models which was p…
math.ST2015
Convergence of the -Means Minimization Problem using -Convergence
Matthew Thorpe, Florian Theil, Adam M. Johansen +1
The -means method is an iterative clustering algorithm which associates each observation with one of clusters. It traditionally employs cluster centers in the same space as…