M. De-iorio and R. Griffiths, Importance sampling on coalescent histories. i, Advances in Applied Probability, pp.417-433, 2004.

M. De-iorio and R. Griffiths, Importance sampling on coalescent histories. ii: Subdivided population models, Advances in Applied Probability, vol.36, issue.2, pp.434-454, 2004.

M. De-iorio, C. Robert, R. Griffiths, F. Leblois, and . Rousset, Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models, Theoretical population biology, vol.68, issue.1, pp.41-53, 2005.
URL : https://hal.archives-ouvertes.fr/halsde-00325236

R. Leblois, P. Pudlo, J. Néron, F. Bertaux, C. R. Beeravolu et al., Maximum likelihood inference of population size contractions from microsatellite data, Molecular biology and evolution, p.212, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02087423

S. Jun, R. Liu, T. Chen, and . Logvinenko, A theoretical framework for sequential importance sampling with resampling, Sequential Monte Carlo methods in practice, pp.225-246, 2001.

M. Stephens and P. Donnelly, Inference in molecular population genetics, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.62, issue.4, pp.605-635, 2000.