Sequential MCMC for Bayesian Model Selection (1999)

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by Christophe Andrieu , Nando de Freitas , Arnaud Doucet
Venue:IEEE Higher Order Statistics Workshop, Ceasarea
Citations:36 - 16 self

Active Bibliography

14 Sequential Bayesian Estimation And Model Selection For Dynamic Kernel Machines – Christophe Andrieu, Nando de Freitas, Arnaud Doucet - 2000
144 The Unscented Particle Filter – Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric Wan - 2000
122 Particle Filters for State Estimation of Jump Markov Linear Systems – Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy - 2001
42 Particle Filters for State Space Models With the Presence of Static Parameters – Geir Storvik - 2002
140 Convergence of Sequential Monte Carlo Methods – Dan Crisan, Arnaud Doucet - 2000
660 On Sequential Monte Carlo Sampling Methods for Bayesian Filtering – Arnaud Doucet, Simon Godsill, Christophe Andrieu - 2000
18 Architectures for Efficient Implementation of Particle Filters – Miodrag Bolic - 2004
9 Bayesian Methods for Neural Networks – João F. G. De Freitas - 1999
95 Monte Carlo smoothing for non-linear time series – Simon J. Godsill, Arnaud Doucet, Mike West - 2004
1 A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data 1 – Christian Robert
11 Bayesian Hybrid Model-State Estimation Applied To Simultaneous Contact Formation Detection and Geometrical parameter Estimation – Klaas Gadeyne, Tine Lefebvre, Herman Bruyninckx - 2005
10 Sequential Monte Carlo Methods For Optimisation Of Neural Network Models – Nando de Freitas, Mahesan Niranjan, Andrew Gee, Arnaud Doucet - 1998
222 An Introduction to MCMC for Machine Learning – Christophe Andrieu - 2003
141 Sequential Monte Carlo Samplers – Pierre Del Moral, Arnaud Doucet, Toulouse France - 2002
State Estimation of Probabilistic Hybrid Systems with Particle Filters – Stanislav Funiak - 2004
26 Sequential Monte Carlo Inference of Internal Delays in Nonstationary Communication Networks – Mark J. Coates, Robert D. Nowak - 2001
22 Monte Carlo Smoothing with Application to Audio Signal Enhancement – William Fong, Simon J. Godsill, Arnaud Doucet, Mike West
LETTER Communicated by Steven Nowlan and Gerard Dreyfus Sequential Monte Carlo Methods to Train Neural Network Models – J. F. G. De Freitas, M. Niranjan, A. H. Gee, A. Doucet
453 Sequential Monte Carlo Methods for Dynamic Systems – Jun S. Liu, Rong Chen - 1998