Newton Institute
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2006
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30 Oct - 3 Nov 2006
SCBw01 - Recent Advances in Monte Carlo Based Inference
in association with the
SCB
programme
3 Nov 2006:
Randomized quasi-Monte Carlo for Markov Chains
P. L'Ecuyer
3 Nov 2006:
Sampling the energy landscape: thermodynamics and rates
D. Wales
3 Nov 2006:
Branching process Monte Carlo
P. Green
3 Nov 2006:
Configurationally-Biased MC and Virtual-move parallel tempering
D. Frenkel
2 Nov 2006:
Bayesian inference for nonlinear multivariate diffusion processes
D. Wilkinson
2 Nov 2006:
Importance sampling for diffusion processes
O. Papaspiliopoulos
2 Nov 2006:
Sequential Monte Carlo methods: can we replace the resampling step?
D. Crisan
2 Nov 2006:
Nested sampling
D. Mackay
2 Nov 2006:
Extensions of the CE method for statistical analysis
N. Chopin
1 Nov 2006:
The expected auxiliary variable method for Monte Carlo simulation
C. Andrieu
1 Nov 2006:
Retrospective sampling
G. Roberts
1 Nov 2006:
A sequential importance sampler for reconstructing genetic pedigrees
T. Johnson
1 Nov 2006:
Sequential Monte Carlo for Generalized Linear Mixed Models
D. Leslie
1 Nov 2006:
Applications of extended ensemble Monte Carlo
Y. Iba
31 Oct 2006:
Deterministic alternatives to MCMC
Z. Ghahramani
31 Oct 2006:
Adaptive population Monte Carlo
O. Cappe
31 Oct 2006:
Sequentially interacting Markov Chain Monte Carlo
A. Doucet
31 Oct 2006:
Population-based MC for sampling trans-dimensional Bayesian regression models
C. Holmes
30 Oct 2006:
Estimating functions in indirect inference
A. Frigessi
30 Oct 2006:
Some developments of ABC
D. Balding
30 Oct 2006:
From doubly intractable distributions via auxiliary variables to likelihood free inference
T. Pettitt
30 Oct 2006:
Now you know your ABCs: examples and problems
S. Tavare
Newton Institute
>
Web Seminars
>
Programmes & Workshops
>
2006
>
SCB
> SCBw01
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