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Random walk in cooling random environment: recurrence versus transience and mixed fluctuations (2022)
Journal Article
Avena, L., Chino, Y., da Costa, C., & den Hollander, F. (2022). Random walk in cooling random environment: recurrence versus transience and mixed fluctuations. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 58(2), 967-1009. https://doi.org/10.1214/21-aihp1184

This is the third in a series of papers in which we consider one-dimensional Random Walk in Cooling Random Environment (RWCRE). The latter is obtained by starting from one-dimensional Random Walk in Random Environment (RWRE) and resampling the enviro... Read More about Random walk in cooling random environment: recurrence versus transience and mixed fluctuations.

Novel hairy black hole solutions in Einstein-Maxwell-Gauss-Bonnet-scalar theory (2022)
Journal Article
Hunter, C., & Smith, D. J. (2022). Novel hairy black hole solutions in Einstein-Maxwell-Gauss-Bonnet-scalar theory. International Journal of Modern Physics A, 37(9), Article 2250045. https://doi.org/10.1142/s0217751x22500452

It has been previously shown that a Gauss–Bonnet term nonminimally coupled to a scalar field produces a scalarised black hole solution which can be considered as having secondary scalar hair, parametrised in terms of the black hole’s mass and charge.... Read More about Novel hairy black hole solutions in Einstein-Maxwell-Gauss-Bonnet-scalar theory.

Using genomic prediction to detect microevolutionary change of a quantitative trait (2022)
Journal Article
Hunter, D., Ashraf, B., Bérénos, C., Ellis, P., Johnston, S., Wilson, A., Pilkington, J., Pemberton, J., & Slate, J. (2022). Using genomic prediction to detect microevolutionary change of a quantitative trait. Proceedings of the Royal Society B: Biological Sciences, 289(1974), Article 20220330. https://doi.org/10.1098/rspb.2022.0330

Detecting microevolutionary responses to natural selection by observing temporal changes in individual breeding values is challenging. The collection of suitable datasets can take many years and disentangling the contributions of the environment and... Read More about Using genomic prediction to detect microevolutionary change of a quantitative trait.

Exploring the orthosymplectic zoo (2022)
Journal Article
Akhond, M., Carta, F., Dwivedi, S., Hayashi, H., Kim, S.-S., & Yagi, F. (2022). Exploring the orthosymplectic zoo. Journal of High Energy Physics, 2022(5), Article 54. https://doi.org/10.1007/jhep05%282022%29054

We study the Higgs branch of the SCFT limit of 5d SO(6) and SO(8) gauge theory with hypermultiplets in the spinor and vector representations. In the case of SO(6) gauge theories, we contrast the magnetic quivers obtained with those of SU(4) gauge the... Read More about Exploring the orthosymplectic zoo.

On acceleration in three dimensions (2022)
Journal Article
Arenas-Henriquez, G., Gregory, R., & Scoins, A. (2022). On acceleration in three dimensions. Journal of High Energy Physics, 2022(5), Article 63. https://doi.org/10.1007/jhep05%282022%29063

We go “back to basics”, studying accelerating systems in 2 + 1 AdS gravity ab initio. We find three classes of geometry, which we interpret by studying holographically their physical parameters. From these, we construct stationary, accelerating point... Read More about On acceleration in three dimensions.

Shape-Morphing of an Artificial Protein Cage with Unusual Geometry Induced by a Single Amino Acid Change (2022)
Journal Article
Sharma, M., Biela, A. P., Kowalczyk, A., Borzęcka-Solarz, K., Piette, B. M., Gaweł, S., Bishop, J., Kukura, P., Benesch, J. L., Imamura, M., Scheuring, S., & Heddle, J. G. (2022). Shape-Morphing of an Artificial Protein Cage with Unusual Geometry Induced by a Single Amino Acid Change. ACS Nanoscience Au, 2(5), 404-413. https://doi.org/10.1021/acsnanoscienceau.2c00019

Artificial protein cages are constructed from multiple protein subunits. The interaction between the subunits, notably the angle formed between them, controls the geometry of the resulting cage. Here, using the artificial protein cage, “TRAP-cage”, w... Read More about Shape-Morphing of an Artificial Protein Cage with Unusual Geometry Induced by a Single Amino Acid Change.

On Lasso and adaptive Lasso for non-random sample in credit scoring (2022)
Journal Article
Ogundimu, E. O. (2024). On Lasso and adaptive Lasso for non-random sample in credit scoring. Statistical Modelling, 24(2), 115-138. https://doi.org/10.1177/1471082x221092181

Prediction models in credit scoring are often formulated using available data on accepted applicants at the loan application stage. The use of this data to estimate probability of default (PD) may lead to bias due to non-random selection from the pop... Read More about On Lasso and adaptive Lasso for non-random sample in credit scoring.

Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework (2022)
Journal Article
Karagiannis, G., Hou, Z., Huang, M., & Lin, G. (2022). Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework. Computation, 10(5), Article 72. https://doi.org/10.3390/computation10050072

In this work, generalized polynomial chaos (gPC) expansion for land surface model parameter estimation is evaluated. We perform inverse modeling and compute the posterior distribution of the critical hydrological parameters that are subject to great... Read More about Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework.

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation (2022)
Presentation / Conference Contribution
Dyer, J., Cannon, P., Schmon, S. M., Camps-Valls, G., Ruiz, F. J., & Valera, I. (2022, March). Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation. Presented at Artificial Intelligence and Statistics 2022 (AISTATS): The 25th International Conference on Artificial Intelligence and Statistics, Virtual

Simulation models of complex dynamics in the natural and social sciences commonly lack a tractable likelihood function, rendering traditional likelihood-based statistical inference impossible. Recent advances in machine learning have introduced novel... Read More about Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation.

Inference for epidemic models with time varying infection rates: tracking the dynamics of oak processionary moth in the UK (2022)
Journal Article
Wadkin, L. E., Branson, J., Hoppit, A., Parker, N. G., Golightly, A., & Baggaley, A. W. (2022). Inference for epidemic models with time varying infection rates: tracking the dynamics of oak processionary moth in the UK. Ecology and Evolution, 12(5), Article e8871. https://doi.org/10.1002/ece3.8871

1. Invasive pests pose a great threat to forest, woodland, and urban tree ecosystems. The oak processionary moth (OPM) is a destructive pest of oak trees, first reported in the UK in 2006. Despite great efforts to contain the outbreak within the orig... Read More about Inference for epidemic models with time varying infection rates: tracking the dynamics of oak processionary moth in the UK.

Integrable deformations of AdS/CFT (2022)
Journal Article
de Leeuw, M., Pribytok, A., Retore, A. L., & Ryan, P. (2022). Integrable deformations of AdS/CFT. Journal of High Energy Physics, 2022(5), Article 12. https://doi.org/10.1007/jhep05%282022%29012

In this paper we study in detail the deformations introduced in [1] of the integrable structures of the AdS2,3 integrable models. We do this by embedding the corresponding scattering matrices into the most general solutions of the Yang-Baxter equati... Read More about Integrable deformations of AdS/CFT.

Generic local deformation rings when l≠p (2022)
Journal Article
Shotton, J. (2022). Generic local deformation rings when l≠p. Compositio Mathematica, 158(4), 721-749. https://doi.org/10.1112/s0010437x22007461

We determine the local deformation rings of sufficiently generic mod l representations of the Galois group of a p-adic field, when l≠p, relating them to the space of q-power-stable semisimple conjugacy classes in the dual group. As a consequence, we... Read More about Generic local deformation rings when l≠p.

A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference (2022)
Journal Article
Moral-Garcia, S., Abellan, J., Coolen-Maturi, T., & Coolen, F. (2022). A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. Applied Soft Computing, 123, Article 108916. https://doi.org/10.1016/j.asoc.2022.108916

Classifiers sometimes return a set of values of the class variable since there is not enough information to point to a single class value. These classifiers are known as imprecise classifiers. Decision Trees for Imprecise Classification were proposed... Read More about A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference.

A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis (2022)
Journal Article
Raices Cruz, I., Troffaes, M. C., Lindström, J., & Sahlin, U. (2022). A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis. Statistics in Medicine, 41(17), 3365-3379. https://doi.org/10.1002/sim.9422

Meta-analysis is a statistical method used in evidence synthesis for combining, analyzing and summarizing studies that have the same target endpoint and aims to derive a pooled quantitative estimate using fixed and random effects models or network mo... Read More about A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis.

Self-dual U(1) lattice field theory with a θ-term (2022)
Journal Article
Anosova, M., Gattringer, C., & Sulejmanpasic, T. (2022). Self-dual U(1) lattice field theory with a θ-term. Journal of High Energy Physics, 2022(4), Article 120. https://doi.org/10.1007/jhep04%282022%29120

We study U(1) gauge theories with a modified Villain action. Such theories can naturally be coupled to electric and magnetic matter, and display exact electric-magnetic duality. In their simplest formulation without a θ-term, such theories are ultra-... Read More about Self-dual U(1) lattice field theory with a θ-term.

Effective Lagrangian for non-Abelian two-dimensional topological field theory (2022)
Journal Article
Srisangyingcharoen, P., & Mansfield, P. (2022). Effective Lagrangian for non-Abelian two-dimensional topological field theory. Nuclear Physics B, 980(115798), Article 115798. https://doi.org/10.1016/j.nuclphysb.2022.115798

We develop a systematic approach to obtain an effective Lagrangian for 2D non-Abelian topological BF theory. A general expression is presented in a diagrammatic representation containing solely scalar fields. Expressions for the and effective actions... Read More about Effective Lagrangian for non-Abelian two-dimensional topological field theory.

The Dynamic Coupling of Streamers and Pseudostreamers to the Heliosphere (2022)
Journal Article
Aslanyan, V., Pontin, D., Higginson, A., Wyper, P., Scott, R., & Antiochos, S. (2022). The Dynamic Coupling of Streamers and Pseudostreamers to the Heliosphere. Astrophysical Journal, 929(2), Article 185. https://doi.org/10.3847/1538-4357/ac5d5b

The slow solar wind is generally believed to result from the interaction of open and closed coronal magnetic flux at streamers and pseudostreamers. We use three-dimensional magnetohydrodynamic simulations to determine the detailed structure and dynam... Read More about The Dynamic Coupling of Streamers and Pseudostreamers to the Heliosphere.

A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis (2022)
Journal Article
Botsas, T., Cumming, J., & Jermyn, I. (2022). A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis. Journal of the Royal Statistical Society: Series C, 71(4), 951-968. https://doi.org/10.1111/rssc.12562

In petroleum well test analysis, deconvolution is used to obtain information about the reservoir system. This information is contained in the response function, which can be estimated by solving an inverse problem in the pressure and flow rate measur... Read More about A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis.

Eruptivity Criteria for Two-dimensional Magnetic Flux Ropes in the Solar Corona (2022)
Journal Article
Rice, O. E., & Yeates, A. R. (2022). Eruptivity Criteria for Two-dimensional Magnetic Flux Ropes in the Solar Corona. Frontiers in Astronomy and Space Sciences, 9, Article 849135. https://doi.org/10.3389/fspas.2022.849135

We apply the magneto-frictional approach to investigate which quantity or quantities can best predict the loss of equilibrium of a translationally-invariant magnetic flux rope. The flux rope is produced self-consistently by flux cancellation combined... Read More about Eruptivity Criteria for Two-dimensional Magnetic Flux Ropes in the Solar Corona.