Skip to main content

Research Repository

Advanced Search

Outputs (127)

Bayesian Strategies to Assess Uncertainty in Velocity Models (2012)
Journal Article
Caiado, C. C., Goldstein, M., & Hobbs, R. W. (2012). Bayesian Strategies to Assess Uncertainty in Velocity Models. Bayesian Analysis, 7(1), 211-234. https://doi.org/10.1214/12-ba707

Quantifying uncertainty in models derived from observed seismic data is a major issue. In this research we examine the geological structure of the sub-surface using controlled source seismology which gives the data in time and the distance between th... Read More about Bayesian Strategies to Assess Uncertainty in Velocity Models.

Quantifying input-uncertainty in traffic assignment models (2012)
Presentation / Conference Contribution
Perrakis, K., Cools, M., Karlis, D., Janssens, D., Kochan, B., Bellemans, T., & Wets, G. (2012, January). Quantifying input-uncertainty in traffic assignment models. Paper presented at Transportation Research Board 91st Annual Meeting, Washington, DC, United States

Generalizing the signature to systems with multiple types of components (2012)
Book Chapter
Coolen, F., & Coolen-Maturi, T. (2012). Generalizing the signature to systems with multiple types of components. In W. Zamojski, J. Mazurkiewicz, J. Sugier, T. Walkowiak, & J. Kacprzyk (Eds.), Complex systems and dependability (115-130). Springer Verlag. https://doi.org/10.1007/978-3-642-30662-4_8

The concept of signature was introduced to simplify quantification of reliability for coherent systems and networks consisting of a single type of components, and for comparison of such systems’ reliabilities. The signature describes the structure of... Read More about Generalizing the signature to systems with multiple types of components.

Normal Form Backward Induction for Decision Trees with Coherent Lower Previsions (2012)
Journal Article
Huntley, N., & Troffaes, M. C. (2012). Normal Form Backward Induction for Decision Trees with Coherent Lower Previsions. Annals of Operations Research, 195(1), 111-134. https://doi.org/10.1007/s10479-011-0968-2

We examine normal form solutions of decision trees under typical choice functions induced by lower previsions. For large trees, finding such solutions is hard as very many strategies must be considered. In an earlier paper, we extended backward induc... Read More about Normal Form Backward Induction for Decision Trees with Coherent Lower Previsions.

Species non-exchangeability in probabilistic ecotoxicological risk assessment (2012)
Journal Article
Craig, P. S., Hickey, G. L., Luttik, R., & Hart, A. (2012). Species non-exchangeability in probabilistic ecotoxicological risk assessment. Journal of the Royal Statistical Society: Series A, 175(1), 243-262. https://doi.org/10.1111/j.1467-985x.2011.00716.x

Current ecotoxicological risk assessment for chemical substances is based on the assumption that tolerances of all species in a specified ecological community are a priori exchangeable for each new substance. We demonstrate non-exchangeability by usi... Read More about Species non-exchangeability in probabilistic ecotoxicological risk assessment.

Long time stability of a classical efficient scheme for two-dimensional Navier-Stokes equations (2012)
Journal Article
Gottlieb, S., Tone, F., Wang, C., Wang, X., & Wirosoetisno, D. (2012). Long time stability of a classical efficient scheme for two-dimensional Navier-Stokes equations. SIAM Journal on Numerical Analysis, 50(1), 126-150. https://doi.org/10.1137/110834901

This paper considers the long-time stability property of a popular semi-implicit scheme for the two-dimensional incompressible Navier–Stokes equations in a periodic box that treats the viscous term implicitly and the nonlinear advection term explicit... Read More about Long time stability of a classical efficient scheme for two-dimensional Navier-Stokes equations.

Rank-driven Markov processes (2012)
Journal Article
Grinfeld, M., Knight, P. A., & Wade, A. R. (2012). Rank-driven Markov processes. Journal of Statistical Physics, 146(2), 378-407. https://doi.org/10.1007/s10955-011-0368-7

We study a class of Markovian systems of N elements taking values in [0,1] that evolve in discrete time t via randomized replacement rules based on the ranks of the elements. These rank-driven processes are inspired by variants of the Bak–Sneppen mod... Read More about Rank-driven Markov processes.

Cluster algebras of finite mutation type via unfoldings (2012)
Journal Article
Felikson, A., Shapiro, M., & Tumarkin, P. (2012). Cluster algebras of finite mutation type via unfoldings. International Mathematics Research Notices, 2012(8), 1768-1804. https://doi.org/10.1093/imrn/rnr072

We complete the classification of mutation-finite cluster algebras by extending the technique derived by Fomin, Shapiro, and Thurston to skew-symmetrizable case. We show that for every mutation-finite skew-symmetrizable matrix a diagram characterizin... Read More about Cluster algebras of finite mutation type via unfoldings.