Outputs (207)

Bayes linear sufficiency in non-exchangeable multivariate multiple regressions (2014)
Journal Article
Wooff, D. (2014). Bayes linear sufficiency in non-exchangeable multivariate multiple regressions. Bayesian Analysis, 9(1), 77-96. https://doi.org/10.1214/13-ba847

We consider sufficiency for Bayes linear revision for multivariate multiple regression problems, and in particular where we have a sequence of multivariate observations at different matrix design points, but with common parameter vector. Such sequenc... Read More about Bayes linear sufficiency in non-exchangeable multivariate multiple regressions.

Theoretical analysis for the optical deformation of emulsion droplets (2014)
Journal Article
Tapp, D., Taylor, J., Lubansky, A., Bain, C., & Chakrabarti, B. (2014). Theoretical analysis for the optical deformation of emulsion droplets. Optics Express, 22(4), 4523-4538. https://doi.org/10.1364/oe.22.004523

We propose a theoretical framework to predict the three-dimensional shapes of optically deformed micron-sized emulsion droplets with ultra-low interfacial tension. The resulting shape and size of the droplet arises out of a balance between the interf... Read More about Theoretical analysis for the optical deformation of emulsion droplets.

A New Weighted Rank Coefficient of Concordance. (2014)
Journal Article
Coolen-Maturi, T. (2014). A New Weighted Rank Coefficient of Concordance. Journal of Applied Statistics, 41(8), 1721-1745. https://doi.org/10.1080/02664763.2014.889664

There are many situations where n objects are ranked by b>2 independent sources or observers and in which the interest is focused on agreement on the top rankings. Kendall's coefficient of concordance [10 M. Kendall and B. Smith, The problem of m ran... Read More about A New Weighted Rank Coefficient of Concordance..

High-energy elastic and diffractive cross sections (2014)
Journal Article
Khoze, V., Martin, A., & Ryskin, M. (2014). High-energy elastic and diffractive cross sections. The European Physical Journal C, 74(2), Article 2756. https://doi.org/10.1140/epjc/s10052-014-2756-z

We present a ‘global’ description of the wide variety of high-energy elastic and diffractive data that are presently available, particularly from the LHC experiments. The model is based on only one pomeron pole, but it includes multi-pomeron interact... Read More about High-energy elastic and diffractive cross sections.

Effects of memory on spatial heterogeneity in neutrally transmitted culture (2014)
Journal Article
Bentley, R., Caiado, C., & Ormerod, P. (2014). Effects of memory on spatial heterogeneity in neutrally transmitted culture. Evolution and Human Behavior, 35(4), 257-263. https://doi.org/10.1016/j.evolhumbehav.2014.02.001

We explore how cultural heterogeneity evolves without strong selection pressure or environmental differences between groups. Using a neutral transmission model with an isolation-by-distance spatiality, we test the effect of a simple representation of... Read More about Effects of memory on spatial heterogeneity in neutrally transmitted culture.

Extending the non-singular hyperscaling violating spacetimes (2014)
Journal Article
Lei, Y., & Ross, S. F. (2014). Extending the non-singular hyperscaling violating spacetimes. Classical and Quantum Gravity, 31(3), Article 035007. https://doi.org/10.1088/0264-9381/31/3/035007

Lifshitz and hyperscaling violating geometries, which provide a holographic description of non-relativistic field theories, generically have a singularity in the infrared region of the geometry, where tidal forces for freely falling observers diverge... Read More about Extending the non-singular hyperscaling violating spacetimes.

A K3 sigma model with Z_2^8:M_20 symmetry (2014)
Journal Article
Gaberdiel, M., Taormina, A., Volpato, R., & Wendland, K. (2014). A K3 sigma model with Z_2^8:M_20 symmetry. Journal of High Energy Physics, 2014(2), Article 22. https://doi.org/10.1007/jhep02%282014%29022

The K3 sigma model based on the Z2-orbifold of the D4-torus theory is studied. It is shown that it has an equivalent description in terms of twelve free Majorana fermions, or as a rational conformal field theory based on the affine algebra b su(2)6.... Read More about A K3 sigma model with Z_2^8:M_20 symmetry.

Galaxy Formation: Bayesian History Matching for the Observable Universe (2014)
Journal Article
Vernon, I., Goldstein, M., & Bower, R. (2014). Galaxy Formation: Bayesian History Matching for the Observable Universe. Statistical Science, 29(1), 81-90. https://doi.org/10.1214/12-sts412

Cosmologists at the Institute of Computational Cosmology, Durham University, have developed a state of the art model of galaxy formation known as Galform, intended to contribute to our understanding of the formation, growth and subsequent evolution o... Read More about Galaxy Formation: Bayesian History Matching for the Observable Universe.

Pseudo-Orbit Data Assimilation. Part I: The Perfect Model Scenario (2014)
Journal Article
Du, H., & Smith, L. A. (2014). Pseudo-Orbit Data Assimilation. Part I: The Perfect Model Scenario. Journal of the Atmospheric Sciences, 71(2), 469-482. https://doi.org/10.1175/jas-d-13-032.1

State estimation lies at the heart of many meteorological tasks. Pseudo-orbit-based data assimilation provides an attractive alternative approach to data assimilation in nonlinear systems such as weather forecasting models. In the perfect model scena... Read More about Pseudo-Orbit Data Assimilation. Part I: The Perfect Model Scenario.

Pseudo-Orbit Data Assimilation. Part II: Assimilation with Imperfect Models (2014)
Journal Article
Du, H., & Smith, L. A. (2014). Pseudo-Orbit Data Assimilation. Part II: Assimilation with Imperfect Models. Journal of the Atmospheric Sciences, 71(2), 483-495. https://doi.org/10.1175/jas-d-13-033.1

Data assimilation and state estimation for nonlinear models is a challenging task mathematically. Performing this task in real time, as in operational weather forecasting, is even more challenging as the models are imperfect: the mathematical system... Read More about Pseudo-Orbit Data Assimilation. Part II: Assimilation with Imperfect Models.