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Bayesian Parameter Inference for Partially Observed Stopped Processes

Bayesian Parameter Inference for Partially Observed Stopped Processes

18 January 2012
Ajay Jasra
N. Kantas
ArXiv (abs)PDFHTML

Papers citing "Bayesian Parameter Inference for Partially Observed Stopped Processes"

4 / 4 papers shown
Title
SMC^2: an efficient algorithm for sequential analysis of state-space
  models
SMC^2: an efficient algorithm for sequential analysis of state-space models
Nicolas Chopin
Pierre E. Jacob
O. Papaspiliopoulos
100
357
0
07 Jan 2011
Efficient Bayesian Inference for Switching State-Space Models using
  Discrete Particle Markov Chain Monte Carlo Methods
Efficient Bayesian Inference for Switching State-Space Models using Discrete Particle Markov Chain Monte Carlo Methods
N. Whiteley
Christophe Andrieu
Arnaud Doucet
114
77
0
10 Nov 2010
On the utility of graphics cards to perform massively parallel
  simulation of advanced Monte Carlo methods
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods
Anthony Lee
C. Yau
M. Giles
Arnaud Doucet
Christopher C. Holmes
103
322
0
14 May 2009
The pseudo-marginal approach for efficient Monte Carlo computations
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
189
895
0
31 Mar 2009
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