|
169
|
On Sequential Simulation-Based Methods for Bayesian Filtering
– Arnaud Doucet
- 1998
|
|
752
|
Novel approach to nonlinear/non-gaussian bayesian state estimation
– N J Gordon, D J Salmond, A F M Smith
- 1993
|
|
340
|
Sequential Monte Carlo Methods for Dynamic Systems
– Jun S. Liu, Rong Chen
- 1998
|
|
360
|
Filtering Via Simulation: Auxiliary Particle Filters
– Michael K. Pitt, Neil Shephard
- 1997
|
|
29
|
Sequential MCMC for Bayesian Model Selection
– Christophe Andrieu, Nando de Freitas, Arnaud Doucet
- 1999
|
|
578
|
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
– Peter J. Green
- 1995
|
|
132
|
Sequential imputations and Bayesian missing data problems
– A Kong, J Liu, W Wong
- 1994
|
|
463
|
On Sequential Monte Carlo Sampling Methods for Bayesian Filtering
– Arnaud Doucet, Simon Godsill, Christophe Andrieu
- 2000
|
|
488
|
Contour Tracking By Stochastic Propagation of Conditional Density
– Michael Isard, Andrew Blake
- 1996
|
|
5
|
Monte Carlo inference for dynamic Bayesian models
– W R Gilks, C Berzuini
- 1998
|
|
61
|
Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation
– Steven N. Maceachern, Merlise Clyde, Jun S. Liu
- 1998
|
|
663
|
Sequential Monte Carlo methods in practice. Statistics for engineering and information science
– A Doucet, N De Freitas, N Gordon
- 2001
|
|
13
|
Sequential Bayesian Estimation And Model Selection For Dynamic Kernel Machines
– Christophe Andrieu, Nando de Freitas, O De Freitas, Arnaud Doucet
- 2000
|
|
22
|
Sequential Monte Carlo Methods to Train Neural Network Models
– D Freitas, M A Niranjan, A H Gee, A Doucet
- 2000
|
|
325
|
On Bayesian analysis of mixtures with an unknown number of components
– Sylvia Richardson, Peter J. Green
- 1997
|
|
607
|
Markov chains for exploring posterior distributions
– Luke Tierney
- 1994
|
|
588
|
Monte Carlo Statistical Methods
– Christian P. Robert, George Casella
- 1998
|
|
38
|
Q.: Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering
– J E Handschin, D Mayne
- 1969
|
|
36
|
Random sampling approach to state estimation in switching environments
– H Akashi, H Kumamoto
- 1977
|