Dr Davide Pigoli Dr Davide Pigoli Academics Supervisors Senior Lecturer in Statistics Research subject areas Mathematics Contact details +44 020 7848 5921 davide.pigoli@kcl.ac.uk
Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology Pigoli, D., Ferraty, F., Aston, J., Mazumder, A., Richards, C. & Hall, M., 4 Nov 2022, (Accepted/In press) In: Journal of the Royal Statistical Society, Series C. Research output: Contribution to journal › Article › peer-review Micro-CT imaging of Onchocerca infection of Simulium damnosum s.l. blackflies and comparison of the peritrophic membrane thickness of forest and savannah flies Hall, M. J. R., Martín-Vega, D., Clark, B., Ghosh, D., Rogers, M., Pigoli, D., Veriegh, F. B. D., Tetteh-Kumah, A., Osei-Atweneboana, M. Y. & Cheke, R. A., Sep 2021, In: Medical and Veterinary Entomology. 35, 3, p. 231-238 8 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1111/mve.12509 Kriging Riemannian Data via Random Domain Decompositions Menafoglio, A., Pigoli, D. & Secchi, P., 13 Nov 2020, (Accepted/In press) In: JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. Research output: Contribution to journal › Article › peer-review Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns Baretta, D., Grillo, S., Pigoli, D., Bionda, E., Bossi, C. & Tornelli, C., 8 Feb 2020, (Accepted/In press) In: Sustainable Energy, Grids and Networks. Research output: Contribution to journal › Article › peer-review Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain” Tavakoli, S., Pigoli, D., Aston, J. A. D. & Coleman, J. S., 3 Jul 2019, In: Journal of the American Statistical Association. 114, 527, p. 1103-1104 2 p. Research output: Contribution to journal › Comment/debate › peer-review. DOIs: https://doi.org/10.1080/01621459.2019.1655931 Kriging prediction for manifold-valued random fields Pigoli, D., Menafoglio, A. & Secchi, P., 1 Mar 2016, In: JOURNAL OF MULTIVARIATE ANALYSIS. 145, p. 117-131 15 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.jmva.2015.12.006 Distances and inference for covariance operators Pigoli, D., Aston, J. A. D., Dryden, I. L. & Secchi, P., 17 Apr 2014, In: BIOMETRIKA. 101, 2, p. 409–422 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1093/biomet/asu008 A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain Tavakoli, S., Pigoli, D., Aston, J. & Coleman, J. S., Sep 2019, In: Journal of American statistical association. 114, 527, p. 1081-1096 16 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1080/01621459.2019.1607357 The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages. Pigoli, D., Hadjipantelis, P. Z., Coleman, J. S. & Aston, J. A. D., 11 Oct 2018, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 67, 5, p. 1103–1145 43 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1111/rssc.12258 Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology Cabassi, A., Pigoli, D., Secchi, P. & Carter, P., 2017, In: Electronic Journal of Statistics. 11, 2 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1214/17-EJS1347 View all publications
2 March 2023 Audio-based AI unreliable for predicting Covid-19 infection, study finds Researchers found that technology using Machine Learning performed no better than simply asking…