Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - An exact Gibbs sampler for the Markov Modulated Poisson Process.
AU - Fearnhead, P
AU - Sherlock, C
PY - 2006
Y1 - 2006
N2 - A Markov modulated Poisson process (MMPP) is a Poisson process whose intensity varies according to a Markov process. We present a novel technique for simulating from the exact distribution of a continuous time Markov chain over an interval given the start and end states and the infinitesimal generator, and use this to create a Gibbs sampler which samples from the exact distribution of the hidden Markov chain in an MMPP. We apply the Gibbs sampler to modelling the occurrence of a rare DNA motif (the Chi site) and to inferring regions of the genome with evidence of high or low intensities for occurrences of this site.
AB - A Markov modulated Poisson process (MMPP) is a Poisson process whose intensity varies according to a Markov process. We present a novel technique for simulating from the exact distribution of a continuous time Markov chain over an interval given the start and end states and the infinitesimal generator, and use this to create a Gibbs sampler which samples from the exact distribution of the hidden Markov chain in an MMPP. We apply the Gibbs sampler to modelling the occurrence of a rare DNA motif (the Chi site) and to inferring regions of the genome with evidence of high or low intensities for occurrences of this site.
KW - Gibbs sampler Markov modulated Poisson process
M3 - Journal article
VL - 68
SP - 767
EP - 784
JO - Journal of the Royal Statistical Society: Series B (Statistical Methodology)
JF - Journal of the Royal Statistical Society: Series B (Statistical Methodology)
SN - 1369-7412
IS - 5
ER -