| A Bayesian Approach to DNA Sequence Segmentation RJ Boys, DA Henderson Biometrics 60 (3), 573-581, 2004 | 129* | 2004 |
| Detecting homogeneous segments in DNA sequences by using hidden Markov models RJ Boys, DA Henderson, DJ Wilkinson Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 …, 2000 | 115 | 2000 |
| Bayesian emulation and calibration of a stochastic computer model of mitochondrial DNA deletions in substantia nigra neurons DA Henderson, RJ Boys, KJ Krishnan, C Lawless, DJ Wilkinson Journal of the American Statistical Association 104 (485), 76-87, 2009 | 100 | 2009 |
| Delayed acceptance particle MCMC for exact inference in stochastic kinetic models A Golightly, DA Henderson, C Sherlock Statistics and Computing 25, 1039-1055, 2015 | 83 | 2015 |
| Fitting Markov chain models to discrete state series such as DNA sequences PJ Avery, DA Henderson Journal of the Royal Statistical Society Series C: Applied Statistics 48 (1 …, 1999 | 82 | 1999 |
| Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods C Sherlock, A Golightly, DA Henderson Journal of Computational and Graphical Statistics 26 (2), 434-444, 2017 | 59 | 2017 |
| Miscellanea kernel-type density estimation on the unit interval MC Jones, DA Henderson Biometrika 94 (4), 977-984, 2007 | 56 | 2007 |
| On determining the order of Markov dependence of an observed process governed by a hidden Markov model RJ Boys, DA Henderson Scientific Programming 10 (3), 241-251, 2002 | 37 | 2002 |
| Maximum likelihood kernel density estimation: On the potential of convolution sieves MC Jones, DA Henderson Computational Statistics & Data Analysis 53 (10), 3726-3733, 2009 | 36 | 2009 |
| A comparison of reversible jump MCMC algorithms for DNA sequence segmentation using hidden Markov models RJ Boys, DA Henderson Comp. Sci. and Statist 33, 35-49, 2001 | 34 | 2001 |
| Detecting a changed segment in DNA sequences PJ Avery, DA Henderson Journal of the Royal Statistical Society Series C: Applied Statistics 48 (4 …, 1999 | 31 | 1999 |
| Linking systems biology models to data: a stochastic kinetic model of p53 oscillations DA Henderson, RJ Boys, CJ Proctor, DJ Wilkinson The Oxford Handbook of Applied Bayesian Analysis, 155-187, 2010 | 24 | 2010 |
| Bayesian calibration of a stochastic kinetic computer model using multiple data sources DA Henderson, RJ Boys, DJ Wilkinson Biometrics 66 (1), 249-256, 2010 | 22 | 2010 |
| A compositional segmentation of the human mitochondrial genome is related to heterogeneities in the guanine mutation rate DC Samuels, RJ Boys, DA Henderson, PF Chinnery Nucleic acids research 31 (20), 6043-6052, 2003 | 22 | 2003 |
| A comparison of truncated and time-weighted Plackett–Luce models for probabilistic forecasting of Formula One results DA Henderson, LJ Kirrane | 21 | 2018 |
| Regional variations in the European Neolithic dispersal: the role of the coastlines DA Henderson, AW Baggaley, A Shukurov, RJ Boys, GR Sarson, ... Antiquity 88 (342), 1291-1302, 2014 | 9 | 2014 |
| Efficient particle MCMC for exact inference in stochastic biochemical network models through approximation of expensive likelihoods A Golightly, DA Henderson, C Sherlock Stat. Comput 25, 1039-1055, 2012 | 9 | 2012 |
| On Bayesian inference for the extended Plackett-Luce model SR Johnson, DA Henderson, RJ Boys Bayesian Analysis 17 (2), 465-490, 2022 | 7 | 2022 |
| Multilevel emulation for stochastic computer models with application to large offshore wind farms JC Kennedy, DA Henderson, KJ Wilson Journal of the Royal Statistical Society Series C: Applied Statistics 72 (3 …, 2023 | 6 | 2023 |
| Revealing subgroup structure in ranked data using a Bayesian WAND SR Johnson, DA Henderson, RJ Boys Journal of the American Statistical Association 115 (532), 1888-1901, 2020 | 5 | 2020 |
