Louis J. M. Aslett

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Frank CoolenProfessor of Statistics, Durham UniversityVerified email at durham.ac.uk
Chris HolmesVerified email at stats.ox.ac.uk
Pedro M EsperançaMachine Learning Engineer (London, UK)Verified email at huawei.com
Simon WilsonStatistics Discipline, Trinity College Dublin; Insight Research Centre; STATICAVerified email at tcd.ie
Sebastian J. VollmerUniversity of Kaiserslautern/DFKIVerified email at cs.uni-kl.de
Aiden DohertyOxford UniversityVerified email at bdi.ox.ac.uk
Matthew WillettsResearch Fellow, UCLVerified email at ucl.ac.uk
Sven HollowellPhD Student, Bristol UniversityVerified email at bristol.ac.uk
Mark A LittleTrinity College DublinVerified email at tcd.ie
Catalina A. VallejosMRC Human Genetics Unit, Edinburgh & The Alan Turing InstituteVerified email at ed.ac.uk
Bilal A MateenUniversity College LondonVerified email at nhs.net
Cathal WalshProfessor of Biostatistics, Trinity College DublinVerified email at tcd.ie
Xianzhen Huang / 黄贤振Professor, School of Mechanical Engineering and Automation, Northeastern University, ChinaVerified email at mail.neu.edu.cn
Arthur WhiteAssistant Professor, School of Computer Science and Statistics, Trinity College DublinVerified email at tcd.ie
Daniel J RogersAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Matthias C. M. TroffaesProfessor, Durham University, UKVerified email at durham.ac.uk
Jason WyseAssistant ProfessorVerified email at tcd.ie
Tahani Coolen-MaturiAssociate Professor, Department of Mathematical Science, Durham University, UKVerified email at durham.ac.uk
Gergo BohnerTrisk Bio LtdVerified email at triskbio.com
Ryan ChristAssociate Research Scientist, Yale UniversityVerified email at yale.edu

Louis J. M. Aslett

Associate Professor, Department of Mathematical Sciences, Durham University

Verified email at durham.ac.uk - Homepage

Statistics Bayesian inference Reliability Theory Markov chain Monte Carlo Cryptography


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Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants M Willetts, S Hollowell, L Aslett, C Holmes, A Doherty Scientific reports 8 (1), 7961, 2018	210	2018
A review of homomorphic encryption and software tools for encrypted statistical machine learning LJM Aslett, PM Esperança, CC Holmes arXiv preprint arXiv:1508.06574, 2015	107	2015
Bayesian inference for reliability of systems and networks using the survival signature LJM Aslett, FPA Coolen, SP Wilson Risk Analysis 35 (9), 1640-1651, 2015	96	2015
Encrypted statistical machine learning: new privacy preserving methods LJM Aslett, PM Esperança, CC Holmes arXiv preprint arXiv:1508.06845, 2015	93	2015
Multilevel Monte Carlo for reliability theory LJM Aslett, T Nagapetyan, SJ Vollmer Reliability Engineering & System Safety 165, 188-196, 2017	54	2017
Reliability analysis of general phased mission systems with a new survival signature X Huang, LJM Aslett, FPA Coolen Reliability Engineering & System Safety 189, 416-422, 2019	43	2019
ReliabilityTheory: Tools for structural reliability analysis LJM Aslett R package, 2012	38*	2012
Bayesian nonparametric system reliability using sets of priors G Walter, LJM Aslett, FPA Coolen International Journal of Approximate Reasoning 80, 67-88, 2017	30	2017
Encrypted accelerated least squares regression P Esperanca, L Aslett, C Holmes Artificial Intelligence and Statistics, 334-343, 2017	26	2017
Modelling of modular battery systems under cell capacity variation and degradation DJ Rogers, LJM Aslett, MCM Troffaes Applied Energy 283, 116360, 2021	24	2021
MCMC for inference on phase-type and masked system lifetime models LJM Aslett Trinity College Dublin, 2012	24	2012
Model updating after interventions paradoxically introduces bias J Liley, S Emerson, B Mateen, C Vallejos, L Aslett, S Vollmer International Conference on Artificial Intelligence and Statistics, 3916-3924, 2021	15	2021
Markov chain Monte Carlo for inference on Phasetype models LJM Aslett, SP Wilson ISI 120, 2011	11	2011
The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset J Scott, E Havyarimana, A Navarro-Gallinad, A White, J Wyse, ... Arthritis Research & Therapy 24 (1), 147, 2022	6	2022
Imprecise system reliability using the survival signature FPA Coolen, T Coolen-Maturi, LJM Aslett, GM Walter	5	2016
Uncertainty in Engineering: Introduction to Methods and Applications LJM Aslett, F Coolen, J De Bock Springer Nature, 2022	4	2022
Development and assessment of a machine learning tool for predicting emergency admission in scotland J Liley, G Bohner, SR Emerson, BA Mateen, K Borland, D Carr, S Heald, ... medRxiv, 2021.08. 06.21261593, 2021	4	2021
ANCA-associated vasculitis in Ireland: a multi-centre national cohort study J Scott, EN an Ríogh, S Al Nokhatha, C Cowhig, A Verrelli, T Fitzgerald, ... HRB Open Research 5, 2022	3	2022
On robust Markov analysis for reliability assessment of complex systems using imprecise Markov chains D Krpelík, FPA Coolen, LJM Aslett 2019 International Conference on Information and Digital Technologies (IDT …, 2019	3	2019
A decomposition approach for computation of survival signatures of heterogeneous systems with subsystems with shared components D Krpelık, FPA Coolen, LJM Aslett	3	2019

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