| On sequential Monte Carlo sampling methods for Bayesian filtering A Doucet, S Godsill, C Andrieu Statistics and computing 10 (3), 197-208, 2000 | 6782 | 2000 |
| An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50 (1), 5-43, 2003 | 3907 | 2003 |
| Particle markov chain monte carlo methods C Andrieu, A Doucet, R Holenstein Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2010 | 2901 | 2010 |
| A tutorial on adaptive MCMC C Andrieu, J Thoms Statistics and computing 18 (4), 343-373, 2008 | 1345 | 2008 |
| The pseudo-marginal approach for efficient Monte Carlo computations C Andrieu, GO Roberts | 1172 | 2009 |
| On sequential simulation-based methods for Bayesian filtering A Doucet Department of Engineering, University of Cambridge, 1998 | 1038 | 1998 |
| Particle methods for change detection, system identification, and control C Andrieu, A Doucet, SS Singh, VB Tadic Proceedings of the IEEE 92 (3), 423-438, 2004 | 448 | 2004 |
| On the ergodicity properties of some adaptive MCMC algorithms C Andrieu, É Moulines | 404 | 2006 |
| Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC C Andrieu, A Doucet IEEE Transactions on Signal Processing 47 (10), 2667-2676, 2002 | 330 | 2002 |
| Particle filtering for partially observed Gaussian state space models C Andrieu, A Doucet Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002 | 325 | 2002 |
| Stability of stochastic approximation under verifiable conditions C Andrieu, É Moulines, P Priouret SIAM Journal on control and optimization 44 (1), 283-312, 2005 | 314 | 2005 |
| Identification of novel genes that co-cluster with estrogen receptor alpha in breast tumor biopsy specimens, using a large-scale real-time reverse transcription-PCR approach S Tozlu, I Girault, S Vacher, J Vendrell, C Andrieu, F Spyratos, P Cohen, ... Endocrine-related cancer 13 (4), 1109-1120, 2006 | 305 | 2006 |
| de Freitas, N., and Gordon, N.“Sequential Monte Carlo Methods in Practice” A Doucet Springer Publishing, New York, 2001 | 299 | 2001 |
| Bayesian curve fitting using MCMC with applications to signal segmentation E Punskaya, C Andrieu, A Doucet, WJ Fitzgerald IEEE Transactions on signal processing 50 (3), 747-758, 2002 | 243 | 2002 |
| Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions C Andrieu, M Davy, A Doucet IEEE Transactions on signal processing 51 (7), 1762-1770, 2003 | 234 | 2003 |
| Particle methods for Bayesian modeling and enhancement of speech signals J Vermaak, C Andrieu, A Doucet, SJ Godsill IEEE Transactions on Speech and Audio Processing 10 (3), 173-185, 2002 | 217 | 2002 |
| Model criticism based on likelihood-free inference, with an application to protein network evolution O Ratmann, C Andrieu, C Wiuf, S Richardson Proceedings of the National Academy of Sciences 106 (26), 10576-10581, 2009 | 201 | 2009 |
| Coalescence of sessile drops C Andrieu, DA Beysens, VS Nikolayev, Y Pomeau Journal of Fluid Mechanics 453, 427-438, 2002 | 189 | 2002 |
| Particle filtering for multi-target tracking and sensor management A Doucet, BN Vo, C Andrieu, M Davy Proceedings of the Fifth International Conference on Information Fusion …, 2002 | 187 | 2002 |
| Sequential MCMC for Bayesian model selection C Andrieu, N De Freitas, A Doucet Proceedings of the IEEE Signal Processing Workshop on Higher-Order …, 1999 | 179 | 1999 |
Arnaud DoucetGoogle DeepMindVerified email at google.com
Arnaud DoucetGoogle DeepMindVerified email at google.com