Daniel A Henderson
Daniel A Henderson
Verified email at ncl.ac.uk
Title
Cited by
Cited by
Year
A Bayesian approach to DNA sequence segmentation
RJ Boys, DA Henderson
Biometrics 60 (3), 573-581, 2004
1082004
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
1002000
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
842009
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 …, 1999
691999
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
A Golightly, DA Henderson, C Sherlock
Statistics and Computing 25 (5), 1039-1055, 2015
642015
Miscellanea kernel-type density estimation on the unit interval
MC Jones, DA Henderson
Biometrika 94 (4), 977-984, 2007
452007
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
342017
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
332001
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
322002
Detecting a changed segment in DNA sequences
PJ Avery, DA Henderson
Journal of the Royal Statistical Society: Series C (Applied Statistics) 48 …, 1999
271999
Maximum likelihood kernel density estimation: On the potential of convolution sieves
MC Jones, DA Henderson
Computational Statistics & Data Analysis 53 (10), 3726-3733, 2009
252009
Bayesian calibration of a stochastic kinetic computer model using multiple data sources
DA Henderson, RJ Boys, DJ Wilkinson
Biometrics 66 (1), 249-256, 2010
192010
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
172003
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
162010
Maximum likelihood kernel density estimation
MC Jones, DA Henderson
Research Report 05/01, The Open University, UK, and University of Newcastle, UK, 2005
142005
Linking systems biology models to data: a stochastic kinetic model of p53 oscillations
DA Henderson, RJ Boys, CJ Proctor, DJ Wilkinson
Handbook of Applied Bayesian Analysis. Oxford University Press, Oxford, 2009
102009
Efficient particle MCMC for exact inference in stochastic biochemical network models through approximation of expensive likelihoods
A Golightly, DA Henderson, C Sherlock
Statistics and Computing 25 (5), 1039-1055, 2012
72012
A comparison of truncated and time-weighted Plackett–Luce models for probabilistic forecasting of Formula One results
DA Henderson, LJ Kirrane
Bayesian Analysis 13 (2), 335-358, 2018
62018
Data augmentation and marginal updating schemes for inference in hidden Markov models
RJ Boys, DA Henderson
Technical Report, 2003
52003
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
32014
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Articles 1–20