| Fast calibrated additive quantile regression M Fasiolo, SN Wood, M Zaffran, R Nedellec, Y Goude Journal of the American Statistical Association, 1-11, 2020 | 61 | 2020 |
| A comparison of inferential methods for highly non-linear state space models in ecology and epidemiology M Fasiolo, N Pya, S Wood Statistical Science 31 (1), 96-118, 2016 | 51 | 2016 |
| Scalable visualisation methods for modern Generalized Additive Models SN Fasiolo, M., Nedellec, R., Goude, Y. and Wood arXiv preprint arXiv:1809.10632, 2018 | 35* | 2018 |
| Practice makes perfect: The consequences of lexical proficiency for articulation F Tomaschek, BV Tucker, M Fasiolo, RH Baayen Linguistics Vanguard 4 (s2), 2018 | 26 | 2018 |
| A generalized Fellner‐Schall method for smoothing parameter optimization with application to Tweedie location, scale and shape models SN Wood, M Fasiolo Biometrics 73 (4), 1071-1081, 2017 | 25 | 2017 |
| An extended empirical saddlepoint approximation for intractable likelihoods M Fasiolo, SN Wood, F Hartig, MV Bravington Electronic Journal of Statistics 12 (1), 1544-1578, 2018 | 20 | 2018 |
| Rfast: A collection of efficient and extremely fast R functions M Papadakis, M Tsagris, M Dimitriadis, S Fafalios, I Tsamardinos, ... R package version 1 (2), 2018 | 18 | 2018 |
| Clinical predictors of pacemaker implantation in patients with syncope receiving implantable loop recorder with or without ECG conduction abnormalities N Ahmed, A Frontera, A Carpenter, S Cataldo, GM Connolly, M Fasiolo, ... Pacing and Clinical Electrophysiology 38 (8), 934-941, 2015 | 16 | 2015 |
| Stochastic particle flow for nonlinear high-dimensional filtering problems FE De Melo, S Maskell, M Fasiolo, F Daum arXiv preprint arXiv:1511.01448, 2015 | 15 | 2015 |
| An introduction to synlik (2014) M Fasiolo, S Wood R package version 0.1 1, 2014 | 13 | 2014 |
| ABC in ecological modelling M Fasiolo, SN Wood Handbook of approximate Bayesian computation, 597-622, 2018 | 9 | 2018 |
| Rfast: Fast r functions M Papadakis, M Tsagris, M Dimitriadis, I Tsamardinos, M Fasiolo, ... R package version 1 (5), 2017 | 8 | 2017 |
| An introduction to mvnfast M Fasiolo R package version 0.1 6, 2016 | 8 | 2016 |
| Approximate methods for dynamic ecological models M Fasiolo, SN Wood http://arxiv.org/abs/1511.02644, To appear in the Handbook of Approximate …, 2015 | 6 | 2015 |
| Statistical inference for highly non-linear dynamical models in ecology and epidemiology M Fasiolo, N Pya, S Wood arXiv preprint arXiv:1411.4564, 2014 | 6 | 2014 |
| COVID-19 and the difficulty of inferring epidemiological parameters from clinical data SN Wood, EC Wit, M Fasiolo, PJ Green The Lancet Infectious Diseases 21 (1), 27-28, 2021 | 5 | 2021 |
| Fast calibrated additive quantile regression, 2017 M Fasiolo, Y Goude, R Nedellec, SN Wood URL https://github. com/mfasiolo/qgam/blob/master/draft_qgam. pdf.[Online, 0 | 5 | |
| Langevin incremental mixture importance sampling M Fasiolo, FE de Melo, S Maskell Statistics and Computing 28 (3), 549-561, 2018 | 4 | 2018 |
| Demographic and clinical characteristics to predict paroxysmal atrial fibrillation: insights from an implantable loop recorder population A Frontera, A Carpenter, N Ahmed, M Fasiolo, M Nelson, I Diab, T Cripps, ... Pacing and Clinical Electrophysiology 38 (10), 1217-1222, 2015 | 4 | 2015 |
| Additive stacking for disaggregate electricity demand forecasting C Capezza, B Palumbo, Y Goude, SN Wood, M Fasiolo arXiv preprint arXiv:2005.10092, 2020 | 2 | 2020 |
