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Non-invertible symmetries and higher representation theory II (2024)
Journal Article
Bartsch, T., Bullimore, M., Ferrari, A. E. V., & Pearson, J. (2024). Non-invertible symmetries and higher representation theory II. SciPost Physics, 17(2), Article 067. https://doi.org/10.21468/scipostphys.17.2.067

In this paper we continue our investigation of the global categorical symmetries that arise when gauging finite higher groups and their higher subgroups with discrete torsion. The motivation is to provide a common perspective on the construction of n... Read More about Non-invertible symmetries and higher representation theory II.

Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort. (2024)
Journal Article
Gisslander, K., White, A., Aslett, L., Hrušková, Z., Lamprecht, P., Musiał, J., Nazeer, J., Ng, J., O'Sullivan, D., Puéchal, X., Rutherford, M., Segelmark, M., Terrier, B., Tesař, V., Tesi, M., Vaglio, A., Wójcik, K., Little, M. A., & Mohammad, A. J. (online). Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort. The Lancet Rheumatology, S2665-9913(24)00187-5. https://doi.org/10.1016/S2665-9913%2824%2900187-5

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a heterogenous autoimmune disease. While traditionally stratified into two conditions, granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA), the subclassificatio... Read More about Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort..

What can abelian gauge theories teach us about kinematic algebras? (2024)
Journal Article
Armstrong-Williams, K., Nagy, S., White, C. D., & Wikeley, S. (2024). What can abelian gauge theories teach us about kinematic algebras?. Journal of High Energy Physics, 2024(8), Article 169. https://doi.org/10.1007/jhep08%282024%29169

The phenomenon of BCJ duality implies that gauge theories possess an abstract kinematic algebra, mirroring the non-abelian Lie algebra underlying the colour information. Although the nature of the kinematic algebra is known in certain cases, a full u... Read More about What can abelian gauge theories teach us about kinematic algebras?.

Challenges in high dimensional change point analysis and advanced approaches (2024)
Presentation / Conference Contribution
Albalawi, S., & Drikvandi, R. (2024, August). Challenges in high dimensional change point analysis and advanced approaches. Presented at 6th International Conference on Statistics: Theory and Applications (ICSTA'24), Barcelona, Spain

Change point analysis aims at identifying significant distributional shifts and changes in data sequences. While the problem has been extensively studied for standard low dimensional data, the transition to high dimensional data imposes several chall... Read More about Challenges in high dimensional change point analysis and advanced approaches.

Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models (2024)
Journal Article
Zhang, Y., & Einbeck, J. (2024). Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models. Algorithms, 17(8), Article 358. https://doi.org/10.3390/a17080358

We consider situations in which the clustering of some multivariate data is desired, which establishes an ordering of the clusters with respect to an underlying latent variable. As our motivating example for a situation where such a technique is desi... Read More about Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models.

Single-valuedness of the AdS Veneziano amplitude (2024)
Journal Article
Alday, L. F., & Hansen, T. (2024). Single-valuedness of the AdS Veneziano amplitude. Journal of High Energy Physics, 2024(8), Article 108. https://doi.org/10.1007/jhep08%282024%29108

We consider the Veneziano amplitude for the scattering of gluons in type IIB string theory on AdS₅ × S⁵/ℤ₂ in the presence of D7 branes. On general grounds curvature corrections around flat space can be thought of as arising from the extra insertion... Read More about Single-valuedness of the AdS Veneziano amplitude.

A Bayesian Imprecise Classification method that weights instances using the error costs (2024)
Journal Article
Moral-García, S., Coolen-Maturi, T., Coolen, F. P., & Abellán, J. (2024). A Bayesian Imprecise Classification method that weights instances using the error costs. Applied Soft Computing, 165, 112080. https://doi.org/10.1016/j.asoc.2024.112080

In practical applications, Bayesian classification methods have been successfully employed. The Naïve Bayes algorithm (NB) is a quick, successful, and well-known Bayesian classification method. The Naïve Credal Classifier (NCC) is a... Read More about A Bayesian Imprecise Classification method that weights instances using the error costs.

Calibration under Uncertainty Using Bayesian Emulation and History Matching: Methods and Illustration on a Building Energy Model (2024)
Journal Article
Domingo, D., Royapoor, M., Du, H., Boranian, A., Walker, S., & Goldstein, M. (2024). Calibration under Uncertainty Using Bayesian Emulation and History Matching: Methods and Illustration on a Building Energy Model. Energies, 17(16), Article 4014. https://doi.org/10.3390/en17164014

Energy models require accurate calibration to deliver reliable predictions. This study offers statistical guidance for a systematic treatment of uncertainty before and during model calibration. Statistical emulation and history matching are introduce... Read More about Calibration under Uncertainty Using Bayesian Emulation and History Matching: Methods and Illustration on a Building Energy Model.