Report/Guide

Thompson, A; Jagan, K; Sundar, A; Khatry, R; Donlevy, J; Thomas, S; Harris, P (2021) Uncertainty evaluation for machine learning. NPL Report. MS 34

Luo, Y; Harris, P M; Wright, L R; Jagan, K; Kok, G; Coquelin, L; Zaouali, J; Eichstadt, S; Dorst, T; Tachtatzis, C; Andonovic, I; Gourlay, G; Yong, B X (2021) Good practice guide on industrial sensor network methods for metrological infrastructure improvement. NPL Report. MS 36

Cox, M G; Jagan, K; Rajan, S (2021) Statistical analysis of temperature rise in passive medical implants in a magnetic resonance imaging environment. NPL Report. MS 28

Forbes, A B; Jagan, K; Smith, I M (2018) MCM2MCMC user manual : software implementing a Markov chain Monte Carlo algorithm for uncertainty evaluation based on the Monte Carlo method of Supplement 1 to the GUM. NPL Report. MS 20

Jagan, K; Forbes, A B (2018) User manual for MCMCMH: software implementing a Metropolis-Hastings algorithm. NPL Report. MS 21

Jagan, K; Forbes, A B (2018) User manual for NLLSMH: Software implementing a Metropolis-Hastings algorithm for non-linear least squares problems. NPL Report. MS 22

Article

Partarrieu, I X; Jagan, K; Fenwick, A; Han, C; Siekkinen, R; Teuho, J; Saraste, A; Smith, N A S (2022) Measurement uncertainty quantification for myocardial perfusion using cardiac positron emission tomography imaging. Measurement Science and Technology, 33 (6). 064002

Chretien, S; Jagan, K; Barton, E (2020) Clustering on Laplacian-embedded latent manifolds when clusters overlap. Measurement Science and Technology, 31 (11). 114001 ISSN 0957-0233

Jagan, K; Forbes, A (2018) Analysis of measurement data subject to additive and multiplicative effects. Journal of Physics: Conference Series, 1065. 212024 ISSN 1742-6588

Lorusso, G; Collins, S M; Jagan, K; Hitt, G W; Sadek, A M; Aitken-Smith, P M; Bridi, D; Keightley, J D (2017) Measuring radioactive half-lives via statistical sampling in practice. Europhysics Letters, 120 (2). 22001

Conference or Workshop Item

Jagan, K; Wright, L; Harris, P (2020) A Bayesian approach to account for timing effects in industrial sensor networks. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IOT (METROIND4.0&IOT), 3 - 5 June 2020, Roma, Italy.

Book Chapter/Section

Jagan, K; Forbes, A B (2018) NLLSMH: MCMC software for nonlinear least squares regression. In: Advanced Mathematical and Computational Tools in Metrology and Testing XI. World Scientific Publishing, pp. 211-219. ISBN 9789813274297