| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Approximate Bayesian computational methods
|
Marin, Jean-Michel
|
|
2011
|
22 |
6 |
p. 1167-1180
|
article
|
| 2 |
Approximate Bayesian computation methods
|
Celeux, Gilles
|
|
2012
|
22 |
6 |
p. 1165-1166
|
article
|
| 3 |
Considerate approaches to constructing summary statistics for ABC model selection
|
Barnes, Chris P.
|
|
2012
|
22 |
6 |
p. 1181-1197
|
article
|
| 4 |
Efficient likelihood-free Bayesian Computation for household epidemics
|
Neal, Peter
|
|
2010
|
22 |
6 |
p. 1239-1256
|
article
|
| 5 |
Efficient likelihood-free Bayesian Computation for household epidemics
|
Neal, Peter
|
|
|
22 |
6 |
p. 1239-1256
|
article
|
| 6 |
Filtering via approximate Bayesian computation
|
Jasra, Ajay
|
|
2010
|
22 |
6 |
p. 1223-1237
|
article
|
| 7 |
Improving ABC for quantile distributions
|
McVinish, R.
|
|
2010
|
22 |
6 |
p. 1199-1207
|
article
|
| 8 |
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation
|
Peters, G. W.
|
|
2012
|
22 |
6 |
p. 1209-1222
|
article
|
| 9 |
Reverse engineering gene regulatory networks using approximate Bayesian computation
|
Rau, Andrea
|
|
2011
|
22 |
6 |
p. 1257-1271
|
article
|
| 10 |
The ensemble Kalman filter is an ABC algorithm
|
Nott, David J.
|
|
2011
|
22 |
6 |
p. 1273-1276
|
article
|
Journal description