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Social tipping points and Earth systems dynamics (2014)
Journal Article
Bentley, R., Maddison, E., Ranner, P., Bissell, J., Caiado, C., Bhatanacharoen, P., …Garnett, P. (2014). Social tipping points and Earth systems dynamics. Frontiers in Environmental Science, 2, Article 35. https://doi.org/10.3389/fenvs.2014.00035

Recently, Early Warning Signals (EWS) have been developed to predict tipping points in Earth Systems. This discussion highlights the potential to apply EWS to human social and economic systems, which may also undergo similar critical transitions. Soc... Read More about Social tipping points and Earth systems dynamics.

Using Storm for scaleable sequential statistical inference. (2014)
Presentation / Conference Contribution
Wilson, S., Mai, T., Cogan, P., Bhattacharya, A., Robles-Sánchez, O., Aslett, L., …Roetzer, G. (2014). Using Storm for scaleable sequential statistical inference. In M. Gilli, G. González-Rodríguez, & A. Nieto-Reyes (Eds.), Proceedings of COMPSTAT 2014: 21st International Conference on Computational Statistics (hosting the 5th IASC World Conference): Geneva, Switzerland, August 19–22, 2014 (103-109)

This article describes Storm, an environment for doing streaming data analysis. Two examples of sequential data analysis — computation of a running summary statistic and sequential updating of a posterior distribution — are implemented and their perf... Read More about Using Storm for scaleable sequential statistical inference..

Ambitwistor Strings in Four Dimensions (2014)
Journal Article
Geyer, Y., Lipstein, A. E., & Mason, L. (2014). Ambitwistor Strings in Four Dimensions. Physical Review Letters, 113(8), Article 081602. https://doi.org/10.1103/physrevlett.113.081602

We develop ambitwistor string theories for four dimensions to obtain new formulas for tree-level gauge and gravity amplitudes with arbitrary amounts of supersymmetry. Ambitwistor space is the space of complex null geodesics in complexified Minkowski... Read More about Ambitwistor Strings in Four Dimensions.

Non-linear tearing of 3D null point current sheets (2014)
Journal Article
Wyper, P., & Pontin, D. (2014). Non-linear tearing of 3D null point current sheets. Physics of Plasmas, 21(8), Article 082114. https://doi.org/10.1063/1.4893149

The manner in which the rate of magnetic reconnection scales with the Lundquist number in realistic three-dimensional (3D) geometries is still an unsolved problem. It has been demonstrated that in 2D rapid non-linear tearing allows the reconnection r... Read More about Non-linear tearing of 3D null point current sheets.

Entropy current for non-relativistic fluid (2014)
Journal Article
Banerjee, N., Dutta, S., Jain, A., & Roychowdhury, D. (2014). Entropy current for non-relativistic fluid. Journal of High Energy Physics, 2014(8), Article 037. https://doi.org/10.1007/jhep08%282014%29037

We study transport properties of a parity-odd, non-relativistic charged fluid in presence of background electric and magnetic fields. To obtain stress tensor and charged current for the non-relativistic system we start with the most generic relativis... Read More about Entropy current for non-relativistic fluid.

Genetic Algorithms and the Search for Viable String Vacua (2014)
Journal Article
Abel, S., & Rizos, J. (2014). Genetic Algorithms and the Search for Viable String Vacua. Journal of High Energy Physics, 2014(8), Article 10. https://doi.org/10.1007/jhep08%282014%29010

Genetic Algorithms are introduced as a search method for finding string vacua with viable phenomenological properties. It is shown, by testing them against a class of Free Fermionic models, that they are orders of magnitude more efficient than a rand... Read More about Genetic Algorithms and the Search for Viable String Vacua.

Flowing from AdS5 to AdS3 with T 1,1 (2014)
Journal Article
Donos, A., & Gauntlett, J. P. (2014). Flowing from AdS5 to AdS3 with T 1,1. Journal of High Energy Physics, 2014(8), Article 006. https://doi.org/10.1007/jhep08%282014%29006

We construct supersymmetric domain wall solutions of type IIB supergravity that interpolate between AdS5 × T 1,1 in the UV and AdS3 × R 2 × S 2 × S 3 solutions in the IR. The R 2 factor can be replaced with a two-torus and then the solution describes... Read More about Flowing from AdS5 to AdS3 with T 1,1.

A Comparison of Real Time Thermal Rating Systems in the U.S. and the UK (2014)
Journal Article
Greenwood, D. M., Gentle, J. P., Myers, K. S., Davison, P. J., West, I. J., Bush, J. W., …Troffaes, M. C. (2014). A Comparison of Real Time Thermal Rating Systems in the U.S. and the UK. IEEE Transactions on Power Delivery, 29(4), 1849-1858. https://doi.org/10.1109/tpwrd.2014.2299068

Real-Time Thermal Rating is a smart grid technology that allows the rating of electrical conductors to be increased based on local weather conditions. Overhead lines are conventionally given a conservative, constant seasonal rating based on seasonal... Read More about A Comparison of Real Time Thermal Rating Systems in the U.S. and the UK.

Rasmussen's spectral sequences and the sl_N-concordance invariants (2014)
Journal Article
Lewark, L. (2014). Rasmussen's spectral sequences and the sl_N-concordance invariants. Advances in Mathematics, 260, 59-83. https://doi.org/10.1016/j.aim.2014.04.003

Combining known spectral sequences with a new spectral sequence relating reduced and unreduced slN-homology yields a relationship between the Homflypt-homology of a knot and its slN-concordance invariants. As an application, some of the slN-concordan... Read More about Rasmussen's spectral sequences and the sl_N-concordance invariants.

Nonparametric predictive pairwise comparison with competing risks (2014)
Journal Article
Coolen-Maturi, T. (2014). Nonparametric predictive pairwise comparison with competing risks. Reliability Engineering & System Safety, 132, 146-153. https://doi.org/10.1016/j.ress.2014.07.014

In reliability, failure data often correspond to competing risks, where several failure modes can cause a unit to fail. This paper presents nonparametric predictive inference (NPI) for pairwise comparison with competing risks data, assuming that the... Read More about Nonparametric predictive pairwise comparison with competing risks.

Tacnode GUE-minor processes and double Aztec Diamonds (2014)
Journal Article
Adler, M., Chhita, S., Johansson, K., & van Moerbeke, P. (2014). Tacnode GUE-minor processes and double Aztec Diamonds. Probability Theory and Related Fields, 162(1), 275-325. https://doi.org/10.1007/s00440-014-0573-9

We study determinantal point processes arising in random domino tilings of a double Aztec diamond, a region consisting of two overlapping Aztec diamonds. At a turning point in a single Aztec diamond where the disordered region touches the boundary, t... Read More about Tacnode GUE-minor processes and double Aztec Diamonds.

Holographic entanglement entropy and gravitational anomalies (2014)
Journal Article
Castro, A., Detournay, S., Iqbal, N., & Perlmutter, E. (2014). Holographic entanglement entropy and gravitational anomalies. Journal of High Energy Physics, 2014(07), Article 114. https://doi.org/10.1007/jhep07%282014%29114

We study entanglement entropy in two-dimensional conformal field theories with a gravitational anomaly. In theories with gravity duals, this anomaly is holographically represented by a gravitational Chern-Simons term in the bulk action. We show that... Read More about Holographic entanglement entropy and gravitational anomalies.

A Note on Learning Dependence Under Severe Uncertainty (2014)
Presentation / Conference Contribution
Troffaes, M. C., Coolen, F. P., & Destercke, S. (2014). A Note on Learning Dependence Under Severe Uncertainty. In Information processing and management of uncertainty in knowledge-based systems : 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014 ; proceedings, part III (498-507). https://doi.org/10.1007/978-3-319-08852-5_51

We propose two models, one continuous and one categorical, to learn about dependence between two random variables, given only limited joint observations, but assuming that the marginals are precisely known. The continuous model focuses on the Gaussia... Read More about A Note on Learning Dependence Under Severe Uncertainty.

Multinomial logistic regression on Markov chains for crop rotation modelling (2014)
Presentation / Conference Contribution
Paton, L., Troffaes, M. C., Boatman, N., Hussein, M., & Hart, A. (2014). Multinomial logistic regression on Markov chains for crop rotation modelling. In Information processing and management of uncertainty in knowledge-based systems : 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014 ; proceedings, part III (476-485). https://doi.org/10.1007/978-3-319-08852-5_49

Often, in dynamical systems such as farmer’s crop choices, the dynamics are driven by external non-stationary factors, such as rainfall, temperature and agricultural input and output prices. Such dynamics can be modelled by a non-stationary Markov ch... Read More about Multinomial logistic regression on Markov chains for crop rotation modelling.

Bayesian shape modelling of cross-sectional geological data (2014)
Presentation / Conference Contribution
Tsiftsi, T., Jermyn, I., & Einbeck, J. (2014). Bayesian shape modelling of cross-sectional geological data. In K. Thomas, S. Fabian, F. Jan, & I. Henriette (Eds.), 29th International Workshop on Statistical Modelling, 14-18 July 2014, Göttingen, Germany ; proceedings (161-164)

Shape information is of great importance in many applications. For example, the oil-bearing capacity of sand bodies, the subterranean remnants of ancient rivers, is related to their cross-sectional shapes. The analysis of these shapes is therefore of... Read More about Bayesian shape modelling of cross-sectional geological data.

A study of online and blockwise updating of the EM algorithm for Gaussian mixtures (2014)
Presentation / Conference Contribution
Einbeck, J., & Bonetti, D. (2014). A study of online and blockwise updating of the EM algorithm for Gaussian mixtures. In T. Kneib, F. Sobotka, J. Fahrenholz, & H. Irmer (Eds.), 29th International Workshop on Statistical Modelling, 14-18 July 2014, Göttingen, Germany ; proceedings (35-38)

A variant of the EM algorithm for the estimation of multivariate Gaussian mixtures, which allows for online as well as blockwise updating of sequentially obtained parameter estimates, is investigated. Several dierent update schemes are considered and... Read More about A study of online and blockwise updating of the EM algorithm for Gaussian mixtures.

Bivariate Estimation of Distribution Algorithms for Protein Structure Prediction (2014)
Presentation / Conference Contribution
Bonetti, D., Delbem, A., & Einbeck, J. (2014). Bivariate Estimation of Distribution Algorithms for Protein Structure Prediction. In T. Kneib, F. Sobotka, J. Fahrenholz, & H. Irmer (Eds.), 29th International Workshop on Statistical Modelling, 14-18 July 2014, Göttingen, Germany ; proceedings (15-18)

A real-valued bivariate ‘Estimation of Distribution Algorithm’ specific for the ab initio and full-atom Protein Structure Prediction problem is proposed. It is known that this is a multidimensional and multimodal problem. In order to deal with the mu... Read More about Bivariate Estimation of Distribution Algorithms for Protein Structure Prediction.