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Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests (2018)
Journal Article
Marques, F., Coolen, F., & Coolen-Maturi, T. (2019). Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests. Journal of statistical theory and practice, 13, Article 15. https://doi.org/10.1007/s42519-018-0020-9

This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibilit... Read More about Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests.

Robustness of nonparametric predictive inference for future order statistics (2018)
Journal Article
Alqifari, H., & Coolen, F. (2019). Robustness of nonparametric predictive inference for future order statistics. Journal of statistical theory and practice, 13(1), Article 12. https://doi.org/10.1007/s42519-018-0011-x

This paper considers robustness of Nonparametric Predictive Inference (NPI), in particular considering inference involving future order statistics. The concept of robust inference is usually aimed at development of inference methods which are not too... Read More about Robustness of nonparametric predictive inference for future order statistics.

The twistor Wilson loop and the amplituhedron (2018)
Journal Article
Heslop, P., & Stewart, A. (2018). The twistor Wilson loop and the amplituhedron. Journal of High Energy Physics, 2018(10), Article 142. https://doi.org/10.1007/jhep10%282018%29142

The amplituhedron provides a beautiful description of perturbative superamplitude integrands in N = 4 SYM in terms of purely geometric objects, generalisations of polytopes. On the other hand the Wilson loop in supertwistor space also gives an explic... Read More about The twistor Wilson loop and the amplituhedron.

Acyclic cluster algebras, reflection groups, and curves on a punctured disc (2018)
Journal Article
Felikson, A., & Tumarkin, P. (2018). Acyclic cluster algebras, reflection groups, and curves on a punctured disc. Advances in Mathematics, 340, 855-882. https://doi.org/10.1016/j.aim.2018.10.020

We establish a bijective correspondence between certain non-self-intersecting curves in an n-punctured disc and positive c-vectors of acyclic cluster algebras whose quivers have multiple arrows between every pair of vertices. As a corollary, we obtai... Read More about Acyclic cluster algebras, reflection groups, and curves on a punctured disc.

Symmetric chain complexes, twisted Blanchfield pairings, and knot concordance (2018)
Journal Article
Miller, A. N., & Powell, M. (2018). Symmetric chain complexes, twisted Blanchfield pairings, and knot concordance. Algebraic & geometric topology, 18(6), 3425-3476. https://doi.org/10.2140/agt.2018.18.3425

We give a formula for the duality structure of the 3 –manifold obtained by doing zero-framed surgery along a knot in the 3 –sphere, starting from a diagram of the knot. We then use this to give a combinatorial algorithm for computing the twisted Blan... Read More about Symmetric chain complexes, twisted Blanchfield pairings, and knot concordance.

Contingency Ranking in Power Systems via Reliability Rates (2018)
Presentation / Conference Contribution
Cervantes, C., Kazemtabrizi, B., & Troffaes, M. (2018). Contingency Ranking in Power Systems via Reliability Rates. In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) : 12-15 June, 2018, Palermo, Italy . Conference proceedings. https://doi.org/10.1109/eeeic.2018.8493853

This paper shows the scope of probabilistic contingency ranking algorithms when applied to transmission systems with high levels of renewable integration. Using our fast screening contingency ranking algorithm, a performance index is calculated throu... Read More about Contingency Ranking in Power Systems via Reliability Rates.

Applicability of in silico tools for the prediction of dermal absorption for pesticides (2018)
Journal Article
Kneuer, C., Charistou, A., Craig, P., Eleftheriadou, D., Engel, N., Kjaerstad, M., …Buist, H. (2018). Applicability of in silico tools for the prediction of dermal absorption for pesticides. EFSA Supporting Publications, 15(10), Article 1493E. https://doi.org/10.2903/sp.efsa.2018.en-1493

Based on the “Human in vitro dermal absorption datasets” published as supporting information to the revised EFSA Guidance on Dermal Absorption, in silico models for prediction of absorption across the skin have been evaluated. For this evaluation, a... Read More about Applicability of in silico tools for the prediction of dermal absorption for pesticides.

A mean field approach to the quasineutral limit for the Vlasov-Poisson equation (2018)
Journal Article
Griffin-Pickering, M., & Iacobelli, M. (2018). A mean field approach to the quasineutral limit for the Vlasov-Poisson equation. SIAM Journal on Mathematical Analysis, 50(5), 5502-5536. https://doi.org/10.1137/17m1156277

This paper concerns the derivation of the Kinetic Isothermal Euler system in dimension d≥1 from an N-particle system of extended charges with Coulomb interaction. This requires a combined mean field and quasineutral limit for a regularized N-particle... Read More about A mean field approach to the quasineutral limit for the Vlasov-Poisson equation.

Coupled axisymmetric pulsar magnetospheres (2018)
Journal Article
Gourgouliatos, K. N., & Lynden-Bell, D. (2018). Coupled axisymmetric pulsar magnetospheres. Monthly Notices of the Royal Astronomical Society, 482(2), 1942-1954. https://doi.org/10.1093/mnras/sty2766

We present solutions of force-free pulsar magnetospheres coupled with a uniform external magnetic field aligned with the dipole magnetic moment of the pulsar. The inclusion of the uniform magnetic field has the following consequences: the equatorial... Read More about Coupled axisymmetric pulsar magnetospheres.

The homology core of matchbox manifolds and invariant measures (2018)
Journal Article
Clark, A., & Hunton, J. (2019). The homology core of matchbox manifolds and invariant measures. Transactions of the American Mathematical Society, 371(3), 1771-1793. https://doi.org/10.1090/tran/7398

We consider the topology and dynamics associated with a wide class of matchbox manifolds, including spaces of aperiodic tilings and suspensions of higher rank (potentially nonabelian) group actions on zero-dimensional spaces. For such a space we intr... Read More about The homology core of matchbox manifolds and invariant measures.

Non‐parametric predictive inference for the validation of credit rating systems (2018)
Journal Article
Coolen-Maturi, T., & Coolen, F. (2019). Non‐parametric predictive inference for the validation of credit rating systems. Journal of the Royal Statistical Society: Series A, 182(4), 1189-1204. https://doi.org/10.1111/rssa.12416

Credit rating or credit scoring systems are important tools for estimating the obligor's creditworthiness and for providing an indication of the obligor's future status. The discriminatory power of a credit rating or credit scoring system refers to i... Read More about Non‐parametric predictive inference for the validation of credit rating systems.

Line Defects and Radiation in N=2 Conformal Theories (2018)
Journal Article
Bianchi, L., Lemos, M., & Meineri, M. (2018). Line Defects and Radiation in N=2 Conformal Theories. Physical Review Letters, 121(14), Article 141601. https://doi.org/10.1103/physrevlett.121.141601

We study the conformal data of a generic superconformal line defect preserving half of the supercharges in a four-dimensional N = 2 conformal theory. We prove a theory independent relation between the one-point function of the stress tensor in the pr... Read More about Line Defects and Radiation in N=2 Conformal Theories.

Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests (2018)
Journal Article
Muhammad, N., Coolen-Maturi, T., & Coolen, F. (2018). Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests. Statistics, optimization & information computing, 6(3), 398-408. https://doi.org/10.19139/soic.v6i3.579

Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, machine learning and credit scoring. The receiver operating characteristic (ROC) curve is a useful tool to assess the ability of a diagnostic test to... Read More about Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests.

Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data (2018)
Presentation / Conference Contribution
Ferreira, C., Avansi, G., Vernon, I., Schiozer, D., & Goldstein, M. (2018). Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data. . https://doi.org/10.3997/2214-4609.201802145

Oil and gas companies use reservoir simulation models for production forecasting and for business and technical decisions at the various stages of field management. The size and complexity of the reservoirs often requires reservoir models with a high... Read More about Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data.

Controlling Fragment Competition on Pathways to Addressable Self-Assembly (2018)
Journal Article
Madge, J., Bourne, D., & Miller, M. A. (2018). Controlling Fragment Competition on Pathways to Addressable Self-Assembly. Journal of Physical Chemistry B (Soft Condensed Matter and Biophysical Chemistry), 122(42), 9815-9825. https://doi.org/10.1021/acs.jpcb.8b08096

Addressable self-assembly is the formation of a target structure from a set of unique molecular or colloidal building-blocks, each of which occupies a defined location in the target. The requirement that each type of building-block appears exactly on... Read More about Controlling Fragment Competition on Pathways to Addressable Self-Assembly.

Geometry of Higgs-branch superconformal primary bundles (2018)
Journal Article
Niarchos, V. (2018). Geometry of Higgs-branch superconformal primary bundles. Physical Review D, 98(6), Article 065012. https://doi.org/10.1103/physrevd.98.065012

It is known that the two- and three-point functions of Higgs-branch superconformal primaries in 4d N = 2 superconformal field theories obey nonrenormalization theorems on N = 2 superconformal manifolds. In this paper, we prove a stronger statement—th... Read More about Geometry of Higgs-branch superconformal primary bundles.

Large D holography with metric deformations (2018)
Journal Article
Andrade, T., Pantelidou, C., & Withers, B. (2018). Large D holography with metric deformations. Journal of High Energy Physics, 2018(9), Article 138. https://doi.org/10.1007/jhep09%282018%29138

We consider Einstein gravity in AdS in the presence of a deformed conformal boundary metric, in the limit of large spacetime dimension. At leading order we find a new set of effective near-horizon equations. These can be understood as covariant gener... Read More about Large D holography with metric deformations.

Bulk entanglement entropy in perturbative excited states (2018)
Journal Article
Belin, A., Iqbal, N., & Lokhande, S. F. (2018). Bulk entanglement entropy in perturbative excited states. SciPost Physics, 5(3), Article 024. https://doi.org/10.21468/scipostphys.5.3.024

We compute the bulk entanglement entropy across the Ryu-Takayanagi surface for a oneparticle state in a scalar field theory in AdS3. We work directly within the bulk Hilbert space and include the spatial spread of the scalar wavefunction. We give clo... Read More about Bulk entanglement entropy in perturbative excited states.