| 201 | -- | 203 | Jean-Marc Bernard. The imprecise Dirichlet model |
| 204 | -- | 216 | Gert de Cooman, Enrique Miranda, Erik Quaeghebeur. Representation insensitivity in immediate prediction under exchangeability |
| 217 | -- | 230 | Frank P. A. Coolen, Thomas Augustin. A nonparametric predictive alternative to the Imprecise Dirichlet Model: The case of a known number of categories |
| 231 | -- | 242 | Marcus Hutter. Practical robust estimators for the imprecise Dirichlet model |
| 243 | -- | 256 | Erik Quaeghebeur, Gert de Cooman. Learning in games using the imprecise Dirichlet model |
| 257 | -- | 268 | Matthias C. M. Troffaes, Frank P. A. Coolen. Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data |
| 269 | -- | 0 | Fabrizio Ruggeri. Preface |
| 270 | -- | 278 | B. O Neill. Importance sampling for Bayesian sensitivity analysis |
| 279 | -- | 288 | Bruno Betrò. Numerical treatment of Bayesian robustness problems |
| 289 | -- | 302 | Christophe Abraham. A computation method in robust Bayesian decision theory |
| 303 | -- | 314 | J. P. Arias-Nicolás, J. Martin, F. Ruggeri, A. Suárez-Llorens. Optimal actions in problems with convex loss functions |
| 315 | -- | 323 | J. Martín, C. J. Pérez, P. Müller. Bayesian robustness for decision making problems: Applications in medical contexts |
| 324 | -- | 340 | Abraham Otero, Paulo Félix, Senén Barro. A fuzzy constraint satisfaction approach for signal abstraction |
| 341 | -- | 362 | Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza. Bayesian classifiers based on kernel density estimation: Flexible classifiers |
| 363 | -- | 384 | Maurizio Filippone. Dealing with non-metric dissimilarities in fuzzy central clustering algorithms |
| 385 | -- | 413 | Milan Studený, Jirí Vomlel. A reconstruction algorithm for the essential graph |