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Andrew Golightly

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • stat.CO1
ORCID 0000-0001-6730-1279

identity via Semantic Scholar / OpenAlex

most citedBayesian inference for Markov jump processes with informative observations

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2023

Using extreme value theory to evaluate the leading pedestrian interval road safety intervention

Nicola Hewett, Lee Fawcett, Andrew Golightly +1

Improving road safety is hugely important with the number of deaths on the world's roads remaining unacceptably high; an estimated 1.35 million people die each year as a result of…

stat.AP2023

Bayesian inference for a spatio-temporal model of road traffic collision data

Nicola Hewett, Andrew Golightly, Lee Fawcett +1

Improving road safety is hugely important with the number of deaths on the world's roads remaining unacceptably high; an estimated 1.35 million people die each year (WHO, 2020). Cu…

stat.CO2014★ 3 cited

Bayesian inference for Markov jump processes with informative observations

Andrew Golightly, Darren J. Wilkinson

In this paper we consider the problem of parameter inference for Markov jump process (MJP) representations of stochastic kinetic models. Since transition probabilities are intracta…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.