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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

12 December 2015
I. P. Mariño
Joaquín Míguez
A. Zaikin
ArXivPDFHTML

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
76
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
174
1,542
0
14 Jan 2009
1