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Capturing the time-varying drivers of an epidemic using stochastic
  dynamical systems
v1v2 (latest)

Capturing the time-varying drivers of an epidemic using stochastic dynamical systems

27 March 2012
Joseph Dureau
K. Kalogeropoulos
M. Baguelin
ArXiv (abs)PDFHTML

Papers citing "Capturing the time-varying drivers of an epidemic using stochastic dynamical systems"

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
98
357
0
07 Jan 2011
The pseudo-marginal approach for efficient Monte Carlo computations
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
186
895
0
31 Mar 2009
Time series analysis via mechanistic models
Time series analysis via mechanistic models
Carles Bretó
D. He
E. Ionides
A. King
AI4TS
165
214
0
31 Jan 2008
Application of Girsanov Theorem to Particle Filtering of Discretely
  Observed Continuous-Time Non-Linear Systems
Application of Girsanov Theorem to Particle Filtering of Discretely Observed Continuous-Time Non-Linear Systems
Simo Särkkä
T. Sottinen
504
46
0
11 May 2007
1