| On sequential Monte Carlo sampling methods for Bayesian filtering A Doucet, S Godsill, C Andrieu Statistics and computing 10, 197-208, 2000 | 6527 | 2000 |
| An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003 | 3595 | 2003 |
| Particle markov chain monte carlo methods C Andrieu, A Doucet, R Holenstein Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2010 | 2624 | 2010 |
| A tutorial on adaptive MCMC C Andrieu, J Thoms Statistics and computing 18, 343-373, 2008 | 1144 | 2008 |
| The pseudo-marginal approach for efficient Monte Carlo computations C Andrieu, GO Roberts | 1068 | 2009 |
| On sequential simulation-based methods for Bayesian filtering A Doucet, SJ Godsill, C Andrieu Department of Engineering, University of Cambridge, 1998 | 1021 | 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 | 431 | 2004 |
| On the ergodicity properties of some adaptive MCMC algorithms C Andrieu, É Moulines | 381 | 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, 1999 | 322 | 1999 |
| Particle filtering for partially observed Gaussian state space models C Andrieu, A Doucet Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002 | 312 | 2002 |
| 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 | 295 | 2006 |
| Stability of stochastic approximation under verifiable conditions C Andrieu, É Moulines, P Priouret SIAM Journal on control and optimization 44 (1), 283-312, 2005 | 287 | 2005 |
| 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 | 234 | 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 | 230 | 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 | 211 | 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 | 191 | 2009 |
| Coalescence of sessile drops C Andrieu, DA Beysens, VS Nikolayev, Y Pomeau Journal of Fluid Mechanics 453, 427-438, 2002 | 187 | 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 | 184 | 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 |
| Iterative algorithms for state estimation of jump Markov linear systems A Doucet, C Andrieu IEEE transactions on signal processing 49 (6), 1216-1227, 2001 | 158 | 2001 |
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMind在 stats.ox.ac.uk 的电子邮件经过验证
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMind在 stats.ox.ac.uk 的电子邮件经过验证