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An iterative importance sampler for Bayesian parameter estimation in stochastic models of multicellular clocks

An iterative importance sampler for Bayesian parameter estimation in stochastic models of multicellular clocks

I. P. Mariño
Joaquín Míguez
A. Zaikin
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Papers citing "An iterative importance sampler for Bayesian parameter estimation in stochastic models of multicellular clocks"

3 / 3 papers shown
Title
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
E. Koblents
Joaquín Míguez
49
77
0
28 Aug 2012
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
73
356
0
07 Jan 2011
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni
David Welch
N. Strelkowa
Andreas Ipsen
M. Stumpf
166
1,542
0
14 Jan 2009

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